Lovelytics

Role Description Lovelytics is seeking a Generative AI Architect with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our growing AI & GenAI practice, this role offers an exciting opportunity to design and deploy state-of-the-art solutions that combine language models, vector databases, and cutting-edge orchestration frameworks. We’re looking for a GenAI Architect who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll architect, design, and deploy solutions that work in the real world: - RAG pipelines - LLM orchestration - Vector search - AI agents - Architecture decisions that make all of it scale This isn't a research role; it's for practitioners who've worked with clients, understood their problems, and built solutions. If you're energized by the pace of this space and want to work alongside people who take data and AI seriously, we'd love to talk. Note: This position is not eligible for work sponsorship at this time. Qualifications - B.S. in Computer Science or equivalent technical field. - 7+ years of experience in Machine Learning or NLP; at least 2 years working with Generative AI systems, preferably on Databricks. - Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries. - Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). - Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks. - Experience designing and deploying applications with security, compliance, and scalability in mind. - Excellent communication skills and a strong ability to engage with technical and business stakeholders. Requirements - Deliver high-impact, client-facing engagements independently while overseeing the work of junior consultants/engineers. - Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. - Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. - Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. - Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. - Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. - Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. - Develop evaluation frameworks using MLFlow, Mosaic AI Eval tools, and standard and custom metrics. - Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. - Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. - Work closely with senior leadership to design architecture and delivery plans tailored to client needs. - Formulate forward-looking data strategies aligned with client business objectives and industry best practices. - Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for GenAI engagements. Benefits - Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. - Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. - A culture of experimentation, innovation, and continuous improvement. - Opportunity to be a conference speaker, blogger, writer. - A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are valued. Company Description Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing, and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics. Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients. In the last year, Lovelytics has grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners.

Role Description We’re looking for a strategic and business-savvy Business Analyst to join our Value Realization team. This role bridges the gap between business strategy and technical execution, helping clients define, design, and realize value from their data, analytics, and AI investments. You'll partner with business leaders, functional experts, and technical delivery teams to translate business needs into actionable requirements, guide process improvement, and ensure data-driven initiatives deliver measurable business impact. You will leverage business acumen and modern tools to synthesize information, identify patterns, and translate complex business and technical challenges into recommendations. Primary Responsibilities: - Partner with stakeholders to uncover business challenges, opportunities, decisions, and data needs. - Lead workshops and working sessions to gather and refine requirements. - Translate business needs into user stories, acceptance criteria, business rules, and reporting requirements that support solution design. - Act as the “bridge” between business leaders and technical teams ensuring alignment on objectives, timelines, and priorities. - Support technical design and data modeling sessions by ensuring business context, process requirements, and user needs are represented in solution decisions. - Partner with data modelers and engineers to analyze source systems, validate data definitions, document transformation requirements, and ensure source-to-target mappings accurately reflect business rules and stakeholder expectations. - Support UAT, testing, and data validation activities using SQL and other tools to verify business requirements, assess data quality, and ensure expected outcomes are achieved. - Analyze business processes, source data, and reporting outputs to identify gaps, inconsistencies, quality concerns, or opportunities for improvement and recommend actionable solutions. - Connect requirements and solutions to measurable business outcomes. - Help define KPIs, business processes, and success measures that enable value realization. - Support adoption through training, documentation, and stakeholder communications. Qualifications - 5+ years of experience as a Business Analyst, Business Consultant, or similar role in data, analytics, or business transformation projects. - Strong understanding of how business processes translate into data and reporting needs (e.g., Sales, Marketing, Finance, Operations). - Proven ability to connect business strategy to data and analytics solutions, driving measurable outcomes. - Strong SQL skills with the ability to analyze source data, validate business requirements, investigate data quality issues, and support testing and solution design. - Familiarity with modern data platforms (Databricks, Snowflake, Azure, GCP) and an understanding of data warehousing, lakehouse concepts, data modeling, ETL/ELT processes, and BI reporting environments. - Excellent communication and facilitation skills capable of engaging both executive and technical audiences. Benefits - Exciting projects with great clients in varying departments and verticals across the world. - The ability to work closely with experienced data engineers and quickly grow and expand your skillset. - The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses. - A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes. - A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better. Compensation The base salary range for this position is $115,000-160,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices. Equal Opportunity Employer Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Role Description This Senior Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data. This role is open to remote candidates in the US. This role is not open for work sponsorship at this time. Primary Responsibilities: - Utilize consulting and technical skills to work independently in a client-facing project environment. - Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead. - Collaborate with other team members to successfully deliver on projects. - Work effectively and directly communicate with both internal and client and/or partner teams. - Develop full ownership of your execution on client engagements, becoming involved in the project planning and solution stages. - Design and implement complex ETL/ELT pipelines with evidence of improved data processing times. - Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead. - Contribute to real-time data processing solutions and managed streaming data. - Implement security and compliance measures for data pipelines. - Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments. Qualifications - B.S. in Computer Science or equivalent. - 2-3 years' experience in data engineering and big data, with at least 1 year working directly with clients and external stakeholders. - Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks (a must). - Data modeling and database design skills and knowledge of version control. - Excellent verbal and written communication skills. - Able to apply technical skills to engagement needs. - Works with engagement leads and directors to gain exposure in the design and architecture of solutions. - Understands and utilizes Lovelytics tools and client tools. Benefits - Exciting projects with great clients in varying departments and verticals across the world. - The ability to work closely with experienced data engineers and quickly grow and expand your skillset. - The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses. - A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes. - A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better. Company Description Lovelytics has helped some of the most complex enterprises in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services modernize their data and put AI to work — not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics. We are the first consulting firm backed by Databricks Ventures, which reflects our commitment to the technology we build on. Alongside Interlock Equity, that backing has helped us grow from 50 to 500+ people in three years, while maintaining the technical depth and low-ego culture that makes the work worth doing.

Role Description Lovelytics is seeking a Generative AI Engineer (Senior Consultant) with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our growing AI & GenAI practice, this role offers an exciting opportunity to design and deploy state-of-the-art solutions that combine language models, vector databases, and cutting-edge orchestration frameworks. We’re looking for a GenAI Engineer who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll design and deploy solutions that work in the real world: - RAG pipelines - LLM orchestration - Vector search - AI agents - Architecture decisions that make all of it scale This isn't a research role; it's for practitioners who've worked with clients, understood their problem, and built something to solve it. If you're energized by the pace of this space and want to work alongside people who take data and AI seriously, we'd love to talk. Note: This position is not eligible for work sponsorship at this time. Qualifications - B.S. in Computer Science or equivalent technical field. - 5+ years of experience in Machine Learning or NLP; at least 2 years working with LLMs or Generative AI systems, preferably on Databricks. - Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries. - Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). - Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks. - Experience designing and deploying applications with security, compliance, and scalability in mind. - Excellent communication skills and a strong ability to engage with technical and business stakeholders. Requirements - Deliver high-impact, client-facing engagements independently while overseeing the work of junior consultants/engineers. - Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. - Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. - Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. - Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. - Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. - Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. - Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics. - Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. - Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. - Work closely with senior leadership to design architecture and delivery plans tailored to client needs. Benefits - Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. - Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. - A culture of experimentation, innovation, and continuous improvement. - Opportunity to be a conference speaker, blogger, writer. - A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are valued. Company Description Lovelytics has helped some of the most complex enterprises in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services modernize their data and put AI to work. We move fast, stay close to the cutting edge, and care more about outcomes than optics. We are the first consulting firm backed by Databricks Ventures, which underscores our commitment to the technology we build on. Our growth from 50 to 500+ people in three years reflects our technical depth and low-ego culture.

Role Description We’re looking for a Data Governance Architect to formulate data and AI governance strategies aligned with business objectives and industry best practice for our clients. - Define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. - Partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ Governance expertise. - This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto! Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in data governance with 4+ years in a client facing role, preferably in a professional services firm. - Mastery in data governance capabilities as defined by the DAMA-DMBOK. - Certified in governance toolsets such as Unity Catalog, Atlan, or Anomalo. - Expert knowledge of Databricks and Spark (required). - Experience creating proofs of concept, technical presales presentations, and pricing for engagements. - Strong client-facing communication skills with the ability to influence technical and executive stakeholders. - A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian. Requirements - Data and AI Governance Strategy: Formulating data and AI governance strategies aligned with business objectives and industry best practices. - Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance. - Introduce emerging technologies and methodologies for completion of data governance tasks and capabilities. - Develop and execute data governance and/or AI Governance strategy that improved data discoverability, data quality, accessibility, usability, AI use case evaluation, and AI readiness. - Lead the successful migration of complex data architecture from on-premises to cloud environments. - Establish and enforce data governance practices resulting in improved data security and compliance. - Introduce containerization to the organization, enhancing scalability and deployment efficiency. - Mentor engineers, review architectures and code, and guide teams through implementation. - Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements. - Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs. Benefits - Remote Roles - $170,000 — $190,000 USD Company Description Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2021, Lovelytics has experienced exponential growth, growing from 50 people to over 500 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services.

Role Description This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data. This role is open to remote candidates in the US. This role is not open for work sponsorship at this time. Primary Responsibilities: - Utilize consulting and technical skills to work in a client-facing project environment independently. - Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead. - Collaborate with other team members to successfully deliver on projects. - Work effectively and directly communicate with both internal and client and/or partner teams. - Develop full ownership of your execution on client engagements, becoming involved in the project planning and solution stages. - Design and implement complex ETL/ELT pipelines with evidence of improved data processing times. - Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead. - Contribute to real-time data processing solutions and managed streaming data. - Implement security and compliance measures for data pipelines. - Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments. - Hands-on experience working with SAP data at the table level. - Strong understanding of SAP data structures and relationships, beyond ETL tooling. - Ability to interpret SAP data in the context of underlying business processes. Qualifications - B.S. in Computer Science or equivalent. - 3-5 years' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders. - Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks (A must). - Data modeling and database design skills and knowledge of version control. - SAP S/4HANA or SAP HANA. - Excellent verbal and written communication skills. - Able to apply technical skills to engagement needs. - Works with engagement leads and directors to gain exposure in the design and architecture of solutions. - Understands and utilizes Lovelytics tools and client tools. Benefits - Exciting projects with great clients in varying departments and verticals across the world. - The ability to work closely with experienced data engineers and quickly grow and expand your skillset. - The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses. - A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes. - A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better. - Remote Roles. - Salary: $150,000 — $170,000 USD. Company Description Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Role Description We’re looking for a Data Engineering Architect to design and lead the build-out of modern, scalable data platforms and pipelines for clients across industries. This role is deeply hands-on in data engineering architecture, helping clients modernize their data to improve business outcomes. - Define technical strategies, architect data platforms, and guide delivery teams to implement best-in-class ingestion, transformation, and storage solutions on the cloud. - Partner with sales and account teams to scope engagements, shape technical proposals, and showcase Lovelytics’ engineering expertise. - This role is open to remote candidates in the U.S. and Ontario, Canada. You’re also welcome in any of our offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto! Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in data engineering and architecture, including large-scale cloud deployments. - 4+ years in a client facing role, preferably in a professional services firm. - Proven track record designing and implementing modern data lakehouses, warehouses, and pipelines in AWS, Azure, or GCP. - Expert knowledge of Databricks and Spark (required). - Experience creating proofs of concept, technical presales presentations, and pricing for engagements. - Strong client-facing communication skills with the ability to influence technical and executive stakeholders. - A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian. Requirements - Formulate forward-looking data strategies aligned with client business objectives and industry best practices. - Design and oversee large-scale lakehouse and warehouse implementations on Databricks (must-have) and other cloud-native technologies. - Create solutions that integrate on-premises and multiple cloud environments seamlessly. - Architect batch and streaming ingestion, real-time processing, and ELT/ETL patterns. - Ensure security, privacy, compliance, and data quality at scale on client engagements. - Tackle intricate data engineering challenges and make strategic decisions to de-risk delivery. - Introduce emerging technologies and methodologies to keep client solutions at the cutting edge. - Drive performance, cost optimization, scalability, and maintainability across data engineering solutions. - Mentor engineers, review architectures and code, and guide teams through implementation. - Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements. - Create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs. Benefits - Remote Roles - $170,000 — $190,000 USD Company Description Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services.

Role Description Lovelytics is seeking a Generative AI Engineer (Senior Consultant) with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our growing AI & GenAI practice, this role offers an exciting opportunity to design and deploy state-of-the-art solutions that combine language models, vector databases, and cutting-edge orchestration frameworks. The Sr Consultant will play a pivotal role in delivering client engagements focused on: - AI Agents - Retrieval-Augmented Generation (RAG) - LLM application development - Prompt engineering / DSPy - GenAI-driven automation - Advanced NLP Our ideal candidate blends technical depth with consulting acumen and thrives in a collaborative, fast-paced environment. Note: This position is not eligible for work sponsorship at this time. Qualifications - B.S. in Computer Science or equivalent technical field. - 3–5 years of experience in Machine Learning or NLP; at least 1–2 years working with LLMs or Generative AI systems, preferably on Databricks. - Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries. - Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). - Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks. - Experience designing and deploying applications with security, compliance, and scalability in mind. - Excellent communication skills and a strong ability to engage with technical and business stakeholders. Requirements - Deliver high-impact, client-facing engagements independently and/or lead specific workstreams under the supervision of an engagement lead and principal consultants. - Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. - Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. - Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. - Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. - Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. - Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. - Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics. - Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. - Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. - Work closely with senior leadership to design architecture and delivery plans tailored to client needs. Benefits - Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. - Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. - A culture of experimentation, innovation, and continuous improvement. - Opportunity to be a conference speaker, blogger, writer. - A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and contributions are valued.

Role Description This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data. This role is open to remote candidates in the US. This role is not open for work sponsorship at this time. - Utilize consulting and technical skills to work in a client-facing project environment independently. - Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead. - Collaborate with other team members to successfully deliver on projects. - Work effectively and directly communicate with both internal and client and/or partner teams. - Develop full ownership of your execution on client engagements, becoming involved in the project planning and solution stages. - Design and implement complex ETL/ELT pipelines with evidence of improved data processing times. - Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead. - Contribute to real-time data processing solutions and managed streaming data. - Implement security and compliance measures for data pipelines. - Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments. - Hands-on experience working with SAP data at the table level. - Strong understanding of SAP data structures and relationships, beyond ETL tooling. - Ability to interpret SAP data in the context of underlying business processes. - Deep understanding of SAP ERP (ECC or S/4HANA) data architecture, specifically utilizing it as a source system with strong knowledge of its underlying tables and business processes. - Strong background in SAP data and integration technologies, specifically with at least one of the following: SAP Datasphere, SAP BW, SAP HANA, or SAP BDC. Qualifications - B.S. in Computer Science or equivalent. - 3-5 years' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders. - Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks. *A must - Data modeling and database design skills and knowledge of version control. - Excellent verbal and written communication skills. - Able to apply technical skills to engagement needs. - Works with engagement leads and directors to gain exposure in the design and architecture of solutions. - Understands and utilizes Lovelytics tools and client tools. Benefits - Exciting projects with great clients in varying departments and verticals across the world. - The ability to work closely with experienced data engineers and quickly grow and expand your skillset. - The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses. - A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes. - A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better. - Remote Roles. - Salary: $125,000 — $150,000 USD. Company Description Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

• Utilize consulting and technical skills to be able to work in a client-facing project environment independently • Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead • Collaborate with other team members to successfully deliver on projects • Work effectively and directly communicate with both internal and client and/or partner teams • Develop full ownership of your execution on client engagements • Design and implement complex ETL/ELT pipelines with evidence of improved data processing times • Successfully lead small data warehousing projects with measurable performance enhancements under management of an engagement lead • Contribute to real-time data processing solutions and manage streaming data • Implement security and compliance measures for data pipelines • Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments • Hands-on experience working with SAP data at the table level • Strong understanding of SAP data structures and relationships, beyond ETL tooling • Ability to interpret SAP data in the context of underlying business processes