• Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team. • Ensure data quality & governance: implement practices that make our data trustworthy and usable for all stakeholders, from clinicians to operators. • Monitor and optimize data infrastructure: troubleshoot issues, improve system performance, and drive efficiency through automation and process enhancements. • Lead with technical depth: review code and set engineering best practices across the team. • Think big picture: design today’s infrastructure with tomorrow’s needs in mind. • Contribute where business needs are highest: flex across the stack, from backend data engineering to occasional contributions in frontend applications that bring data to life. • Collaborate with cross-functional teams: work with product managers, analytics, operations, and care delivery stakeholders to translate business needs into scalable data solutions.

• Traduzir demandas de negócio em problemas e soluções de engenharia de dados. • Projetar, desenvolver e implementar pipelines de dados escaláveis e resilientes. • Construir e manter processos de ingestão, transformação e disponibilização de dados. • Garantir a qualidade, performance e governança das soluções implementadas. • Participar da definição de arquiteturas e padrões de engenharia de dados. • Atuar em conjunto com times multidisciplinares, apoiando iniciativas orientadas a dados. • Realizar troubleshooting e otimização de processos e ambientes de dados.

• Design, build, and take full ownership of the data infrastructure powering our investment operations. • Own the complete data lifecycle, spanning ingestion, transformation, warehousing, analytics, and machine learning. • Architect ETL/ELT pipelines orchestrated by Apache Airflow (AWS MWAA). • Build and tune a Snowflake data warehouse fed by S3 data lakes. • Develop analytical models and dashboards that turn raw data into actionable intelligence. • Lead the transformation of our data infrastructure from manual processes to scalable, governed, automated data systems. • Replace manual file drops with event-driven Airflow DAGs and AWS Lambda functions. • Define all cloud infrastructure with Terraform or AWS CDK. • Establish clean, governed, and accessible datasets that feed AI agents and intelligent automation.

Role Description The Data Team Supervisor is responsible for managing the daily activities of the data analysis team involved in designing, implementing, maintaining, and supporting data warehouse systems and projects. The role ensures that data reporting, data modeling, and data-related projects run efficiently, supporting organizational objectives and maintaining data quality. The supervisor also acts as the primary point of contact for all data reporting, analytics, and database support needs. Qualifications - Bachelor’s degree in computer science, information systems, or a related field required; equivalent experience may be considered. - 7+ years of experience in a data-focused technology role, with heavy exposure to SQL server databases and Power BI (or similar tools). - Previous experience in a supervisory or management role required. Requirements - Provide leadership and oversight in the full lifecycle of data warehouse projects, from planning and design to implementation and support. - Supervise a team of Data Warehouse Analysts and Database Administrators, ensuring that workloads are appropriately balanced and deadlines are met. - Establish and maintain auditing processes to ensure data accuracy and quality across all data warehouses. - Collaborate with business users and stakeholders to gather requirements and translate them into effective technical solutions for data reporting and analytics. - Develop, create, and modify query-based dashboards, reports, KPIs, and advanced analytics to support decision-making across the organization. - Stay current with advancements in data warehousing, business intelligence (BI) technologies, and analytics to bring innovative solutions to the team. - Be available for on-call support as assigned by the manager, providing prompt assistance to resolve data reporting and database-related issues. - Provide technical advice, assistance, and training to users, helping them understand and utilize data reporting tools effectively. - Document and maintain standard operating procedures, troubleshooting guides, and technical documentation for the data warehouse team. - Ensure that best practices for data management, storage, and retrieval are followed across all data warehouse projects. - Perform other duties as assigned by management to support the department’s and organization’s goals. Benefits - Medical Insurance - Vision Insurance - Dental Insurance - 401(k) Matching - Flexible Spending Accounts - Health Savings Accounts - Disability & Life Insurance - Employee Assistance Program - LegalShield - ID Shield - Commuter Reimbursement Plan - Tuition Reimbursement - Bonus Pay - This position falls under our “Corporate Bonus Plan” which entitles you to a potential bonus payout of up to 10% of your annual salary as an annual bonus, if offered employment. - Wellable membership - Telescope Health (telehealth) through Accresa - Intellect (mental health) application - Employee engagement activities, including voluntary events, raffles, book club, and more!