• Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback. • Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision. • Engage in technical spikes to explore new technologies and methods. • Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability. • Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable. • Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs. • Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.

• Leading, developing, and growing a team of Product Solutions Engineers. • Creating a collaborative and engaging culture to reward effective product solutioning, creativity, and long-term customer success. • Collaborating with the Product, Engineering, and Quality teams to define the PSE craft and level of excellence. • Coaching Product Solutions Engineers to be technical advisors, solution consultants, and expert generalists on the Inte platform. • Leading Solutions Engineers in cross-functional initiatives and building partnerships with sales, services, support, and marketing. • Identifying opportunities to scale the impact of the Solutions Engineering teams. • Building and maintaining internal relationships (Sales, Launch, Product) while advocating for prospective and current customers. • Identifying and owning initiatives to improve and develop the team’s craft and performance. • Coaching, mentoring, and developing the team through strong and frequent feedback.

Role Description We are looking for a Sr. Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will operate, mature, and optimize modern cloud data platforms spanning streaming, data lakes, data warehouses, and analytics to ensure performance, security, scalability, and user satisfaction. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions and advance phData’s delivery excellence. Key Responsibilities - Client Delivery: - Own and drive the operation, reliability, and continuous improvement of modern cloud data platforms (streaming, data lakes, data warehouses, and analytics) for enterprise customers. - Translate business and technical requirements into robust cloud-native data platform architectures and implementation plans that align with phData methodologies, standards, and best practices. - Ensure engagements are delivered on time, within scope, and with measurable business value by providing architectural guidance and hands-on operational support for platforms such as Snowflake and Amazon Redshift. - Proactively identify and articulate best practices, platform optimizations, and automation opportunities to help customers get the most value from their Cloud Data Platform. - Collaboration & Leadership: - Collaborate with cross-functional partners (engineering, analytics, ML, support, and others) to design, build, and operate modern data platforms for our clients. - Act as a technical leader across multiple simultaneous customer accounts, skillfully navigating complex environments and aligning stakeholders on priorities and approaches. - Provide technical and strategic leadership during workshops, discovery sessions, design reviews, and operational reviews, including creating and delivering detailed technical presentations. - Ensure high quality in deliverables through rigorous troubleshooting, performance tuning, documentation, testing, governance, and change management. - Partner with practice and account leaders to build Epics, Stories, and Tasks that mature and improve customer data platforms, delegating effectively to Engineers and ensuring successful and timely delivery. - Practice & Firm Contribution: - Contribute to internal initiatives such as codifying operational best practices, building accelerators, templates, and playbooks, and enhancing our cloud data platform offerings. - Continually hunt for ways to automate and optimize existing processes, tooling, and workflows, and share improvements with the broader team. - Train and mentor engineers on new technology stacks, operational practices, and platform standards. - Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders. - Additional Responsibilities: - Act as a trusted advisor to senior client stakeholders, shaping data platform roadmaps, influencing strategic decisions, and guiding long-term initiatives. - Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement in cloud data platform operations. - Help define and refine practice standards, reusable assets, and delivery frameworks for cloud-native data platforms and managed services. - Lead complex incident response and post-incident review efforts, driving systemic improvements that enhance performance, reliability, and user satisfaction. Qualifications - 10+ years of experience in modern cloud data platforms, data warehousing, consulting, and data engineering/operations. - Extensive experience providing architectural guidance and operational support for cloud-native data warehouses such as Snowflake and/or Amazon Redshift across a large user base. - Expertise with cloud-native data technologies in AWS and/or Azure, including services such as S3, Aurora, Athena, Redshift, SageMaker, Azure SQL/DevOps, and Azure Data Factory. - Production support experience in large enterprise environments supporting cloud data platforms and a variety of cloud data technologies. - Strong working knowledge of SQL, with the ability to write, debug, and optimize complex queries for performance and maintainability. - Strong troubleshooting, performance tuning, and database administration skills for cloud data platforms. - Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output. - Ability to describe specific engineering tasks completed with AI assistance. - Experience delivering projects for external or internal clients in a professional services or consulting environment. - Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion. - Strong written and verbal communication skills in English, including the ability to create and deliver detailed presentations to client and internal audiences. - Demonstrated ability to work effectively with distributed and cross-functional teams (including engineering, analytics, and support) to ensure seamless project delivery and high customer satisfaction. - Proven track record of taking ownership, managing multiple priorities across several customer accounts, and delivering high-quality work with minimal supervision. - Proven experience learning new technology stacks, training team members, and creating, challenging, and improving processes and procedures. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications - Production and/or database administration experience and certifications in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, or Databricks. - Production experience with cloud and distributed data storage technologies such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems. - Production experience with data integration technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Service, Azure Data Factory, Google Dataproc, or similar tools. - Production experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi. - Working experience with infrastructure as code using Terraform or CloudFormation. - Strong expertise in a scripting language (preferably Python) to automate repetitive tasks and improve operational efficiency. - Experience with continuous integration and deployment frameworks and tools such as Bitbucket, GitHub, Flyway, and Liquibase. - Experience as a technical team lead, providing direction, coaching, and support to engineers. - Bachelor’s degree in Computer Science or a related field. Location & Time Zone Expectations - This role is based in the US and operates primarily in Central and Eastern time zones. - We are a remote-first company, and you should be comfortable working with a distributed global team. - Some flexibility may be required to collaborate across time zones with colleagues and clients. - Client needs may occasionally require flexibility in working hours to support key milestones or workshops. Benefits - Remote-First Work Environment - 401k plan with company match - Dental and Vision insurance - Home Office Equipment Stipend - Annual stipend for Learning and Development - Competitive compensation, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

Role Description We are looking for a Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions, maximize platform ROI, and advance phData’s delivery excellence. Key Responsibilities - Client Delivery: - Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers. - Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms (e.g., Redshift, Azure Data Warehouse), integration of data lakes and data warehouses, and performance optimization of enterprise data workloads. - Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement. - Collaboration & Leadership: - Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction. - Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges. - Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms. - Partner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData’s Operational Maturity Framework with clients. - Practice & Firm Contribution: - Contribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks. - Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence. - Support pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value. Qualifications - 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment. - Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting. - Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka. - Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement. - Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines and tooling (e.g., Bitbucket, GitHub). - Hands-on experience with data integration and ingestion tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark. - Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output. - Ability to describe specific engineering tasks completed with AI assistance. Requirements - Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation. - Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations. - Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals. - Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion. - Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction. - Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems. - Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence. Education - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications - Snowflake SnowPro Core certification or equivalent cloud/data platform certifications. - Experience using Python for task automation, tooling, and operational efficiency in cloud-native environments. - Hands-on experience with automated database deployment and CI/CD frameworks such as Flyway or Liquibase. - Advanced degrees or additional relevant certifications in data, cloud, or software engineering disciplines. - Experience supporting or implementing managed services offerings for cloud-native data platforms and working with global, remote teams. Location & Time Zone Expectations - This role is based in the US and operates primarily in Central and Eastern time zones. - We are a remote-first company, and you should be comfortable working with a distributed global team. - Some flexibility may be required to collaborate across time zones with colleagues and clients. - Client needs may occasionally require flexibility in working hours to support key milestones or workshops. Benefits - Remote-First Work Environment - 401k plan with company match - Medical, Dental and Vision insurance - Home Office Equipment Stipend - Annual stipend for Learning and Development - Competitive compensation, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)