Role Description This role is part of the team of Customer Engineers in Professional Services, and we’re seeking highly talented individuals to join and grow our team. This is the intersection where the product has to meet customer needs and create value. The Senior Data Analytics Engineer leads the design, implementation, and optimisation of our data infrastructure. With a focus on data engineering, the role spans Microsoft Fabric (to be introduced), on-premise SQL, and Dynamics 365 (Dataverse). You will: - Build and maintain scalable pipelines - Integrate disparate datasets - Ensure high-quality, secure, and accessible data - Provide advanced analytics outputs through Power BI dashboards - Translate complex datasets into actionable insights for stakeholders - Define best practices and guide adoption of Microsoft Fabric Qualifications - BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management or similar - 3+ years in a technical role that involves managing and manipulating large data sets, such as ETL, Data Warehousing, Analytics, Data Science etc. - 6+ years in a client-facing role that involves being a point-of-contact for technical and non-technical users - Extensive experience in SQL Server, ETL/data pipelines, and data engineering in hybrid on-premise / cloud environments - Required: Hands-on experience designing and operating data solutions within Microsoft Fabric, including Lakehouse, Data Pipelines, or Data Engineering workloads - Familiarity with scripting/programming languages for data processing (Python, SQL scripts, etc.) - Proficiency in Power BI, including data modelling, DAX, and advanced dashboard design - Knowledge of data governance, quality, security, and compliance best practices - Strong analytical, problem-solving, and communication skills; able to work with technical and non-technical stakeholders Requirements - Lead the design, development, and optimization of ETL and data pipelines across multiple platforms, ensuring reliability, scalability, and performance - Define and implement best practices for data integration, transformation, quality, security, and governance - Manage data migrations, archival processes, and integrations across various systems and databases - Create and maintain advanced data visualizations, dashboards, and analytical models (e.g., Power BI or equivalent) to support business insights and decision-making - Collaborate with cross-functional teams to define data requirements, translate business needs into technical solutions, and deliver high-quality outcomes - Implement and configure platform components and new features for both new and existing clients - Set up and maintain unified data models across disparate data sources, ensuring consistency and accessibility - Regularly engage with customers to gather requirements, scope and prioritize incoming technical requests, and provide hands-on implementation support - Troubleshoot and resolve technical issues, continuously improving system performance and reliability - Develop sustainable and automated solutions to address recurring issues, contributing to internal tools and process optimization - Maintain detailed documentation and build internal knowledge bases for configurations, workflows, and best practices - Mentor and support team members, fostering technical growth and adherence to best practices - Collaborate with Product and Engineering teams to provide actionable feedback that enhances the platform and customer experience - Promote and uphold Boldr’s values by supporting cross-team collaboration, contributing to a positive culture, and operating with integrity and purpose Benefits - Impact-driven work environment - Opportunities for professional growth - Supportive team culture Company Description Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world. We are a global team, united by our desire to connect diverse people with common values for boldr impact. We employ just over a thousand team members across five countries and we want to employ over 5,000 people by 2027, if not sooner.

• Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph. • Gain hands-on experience with high-impact use cases such as forecasting, entity matching, customer retention and fraud detection – all built on top of a single, extensible foundation model. • Leverage your knowledge in ML and AI to tackle real challenges while contributing to scalable and adaptable solutions that push the boundaries of what’s possible. • Work may span the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration. • You will contribute to our next generation of the Relational Foundation Model.

Role Description We’re looking for a Solutions Engineer to join our Data Management team, reporting to the Director of Implementation Services. You’ll help implement the Redpoint Customer Engagement Hub (CEH) for our clients, focusing on the ETL, data hygiene, and identity resolution components that power our Redpoint Data Management (RPDM) product. This is a strong opportunity for an engineer early in their career who wants to grow into a subject matter expert across our Marketing/Campaign product suite. What You'll Do - Deploy Redpoint software based on client-approved Business Requirements and Design documents - Build ETL processes to consume 1st- and 3rd-party data into the marketing data repository using Redpoint Data Management - Develop into a subject matter expert in Redpoint Interaction, our Marketing/Campaign orchestration product - Collaborate with development team members and project leadership to implement solutions that meet project standards, escalating issues and challenges as needed - Provide support, troubleshooting, and forensic assistance for client implementations, both Redpoint-hosted and client-hosted - Collaborate with development teams to identify new product features and functionality - Support recruiting of qualified personnel as needed Qualifications - 2–5 years of experience in a solutions engineering, data engineering, or implementation role - Strong problem-solving skills and the ability to work effectively in a team environment - Strong client interaction and communication skills, both written and verbal - Experience building automations that consolidate disparate data sources into a single operational or OLAP environment - Working knowledge of relational database design and data manipulation concepts, including data hygiene and match/merge techniques supporting identity resolution and householding - Demonstrated knowledge of SQL - Experience with ETL/ELT and 3rd-party data integration technologies (e.g., Azure Data Factory, Fivetran, Matillion, Alteryx, Informatica) - Ability to travel as required Nice to Have - Experience with Snowflake or other cloud data warehouse platforms - Familiarity with AI/ML-powered data tools or generative AI applications in a marketing or data context - Java and familiarity with web services technologies (SOAP, JSON) - Cloud-based hosting experience (Microsoft Azure, AWS) - Marketing Campaign Management or Customer Engagement/CRM experience, especially in retail - Tableau or other BI tool experience Benefits - Competitive Medical, Dental, and Vision Insurance - Flexible leave policy – take the time you need, when you need it - 10 company-paid holidays Salary Range $85-110K Requirements Must be able to work for any US employer – Redpoint is not able to offer sponsorship at this time.

Role Description The Engineer I is a technical resource on a platform/capability team responsible for supporting the day-to-day design, implementation, and operational activities of the team. - Assisting the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services. - Maintaining code repositories and Git-based services, if applicable. - Writing code, leveraging third-party services, configuring systems, and implementing solutions in an agile way. - Collaborating with team to identify technical solutions for business and enterprise needs. - Developing technical knowledge and expertise related to domain area systems, solutions, services and applications. Qualifications - Bachelor’s degree (or equivalent experience) in Information Technology, Computer Science, Engineering, or a related field. - 1+ years of experience developing in Python and SQL, with a strong foundation and a commitment to continuously improving programming expertise. - Working knowledge of data management principles, data integration processes, and cloud-native technologies. - Familiarity with DevOps practices and Git-based version control for collaborative development. - Foundational understanding of APIs, with the ability and curiosity to quickly expand knowledge. - Basic exposure to object-oriented and/or ontology-based data environments (e.g., graph databases, semantic models, or platforms like Salesforce). - Collaborative, growth-oriented team player who brings new ideas, demonstrates strong problem-solving skills, and is eager to learn, experiment, and contribute within a high-performing team environment. Requirements - Regular and reliable job attendance. - Effective verbal and written communication skills. - Exhibit respect and understanding of others to maintain professional relationships. - Independent judgement in evaluation options to make sound decisions. - Home office environment with the ability to work effectively surrounded by moderate home environment noise - (Telework). Benefits - Competitive compensation and benefits package including a 401(k). - 100% company-funded pension plan. - Health, dental, and vision plans. - Life insurance. - Paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave. - Performance-based and peer-based recognition. - Tuition reimbursement.