About The Position

The Sr System Analyst, Data Activation Engineer, Enterprise Data & Analytics is responsible for building the data integration pipelines and data contracts that connect our target analytics platforms (primarily Google Cloud Platform, other supported platforms are C3.ai, and Azure Databricks) to source systems and middleware. The role owns the functional and technical design of these interfaces, including identifying required tables and columns, validating data sensitivity and handling requirements, and selecting the right integration methodology based on platform capabilities. Data integrity is a core deliverable, not an afterthought, and the engineer is accountable for it across every stage of the pipeline. This is a collaborative role. The engineer partners closely with solution engineers, source system owners, and business subject matter experts to confirm data needs and shape use case delivery. They also design and implement the monitoring and observability layers on each interface, making sure data arrives intact, complete, and on time end to end. Success in this role means dependable pipelines, clear contracts between systems, and analytics consumers who can trust the data theyre working with.

Requirements

  • Building data integration pipelines and data contracts.
  • Connecting analytics platforms (Google Cloud Platform, C3.ai, Azure Databricks) to source systems and middleware.
  • Owning the functional and technical design of interfaces.
  • Identifying required tables and columns.
  • Validating data sensitivity and handling requirements.
  • Selecting the right integration methodology.
  • Ensuring data integrity across every stage of the pipeline.
  • Partnering with solution engineers, source system owners, and business subject matter experts.
  • Designing and implementing monitoring and observability layers on each interface.
  • Ensuring data arrives intact, complete, and on time end to end.

Responsibilities

  • Building data integration pipelines and data contracts.
  • Connecting analytics platforms (Google Cloud Platform, C3.ai, Azure Databricks) to source systems and middleware.
  • Owning the functional and technical design of interfaces.
  • Identifying required tables and columns.
  • Validating data sensitivity and handling requirements.
  • Selecting the right integration methodology.
  • Ensuring data integrity across every stage of the pipeline.
  • Partnering with solution engineers, source system owners, and business subject matter experts.
  • Designing and implementing monitoring and observability layers on each interface.
  • Ensuring data arrives intact, complete, and on time end to end.

Benefits

  • Rich medical & pharmacy benefits, including vision benefits
  • Dental benefits
  • Health Savings Accounts
  • Health Care and Dependent Care Flexible Spending Accounts
  • 401(k) with robust matching
  • Employer paid Pension Plan
  • Employee Stock Purchase Plan with a generous matching contribution
  • State of the art Employee Assistance Program
  • Paid Parental Leave
  • Generous paid time off plus paid holidays
  • Family support: emergency backup child, & elder care assistance
  • Social responsibility and volunteer opportunities
  • Employee discount program
  • Commuter Benefits
  • Culture of growth and learning: career development; tuition reimbursement; recognition program
  • Life and Long-Term Disability Benefits
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service