Staff Data Engineer

Staff Data Engineer

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About the role

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Fora Financial is at an inflection point, modernizing our legacy stack to build the foundation for AI-native analytics. To lead this effort, we are hiring a Staff Data Engineer to build and own the platform backbone for governed reporting and trusted AI workflows.

This is a hands-on Staff IC role on a small Data & AI team. You will make strategic architecture calls—from ingestion patterns and Snowflake design to data contracts and SLAs—and then get into the weeds to build, harden, or rebuild pipelines.

We are looking for a systems thinker who understands business impact and operational burden, and who can partner closely with Analytics, Engineering, and vendors to turn fragmented source systems into trustworthy data products.

What you will own

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### Architecture & Strategy

• Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.
• Freshness strategy: deciding which data needs real-time, near-real-time, daily, or ad hoc refreshes — and designing accordingly.
• Streaming vs. batch decisions: making pragmatic tradeoffs across business value, cost, complexity, failure modes, and operational burden.

### Execution & Reliability

• Source ingestion: batch, incremental, API-based, file-based, CDC, and streaming patterns where they make sense.
• Pipeline reliability: dependencies, retries, alerts, backfills, incident response, runbooks, monitoring, and support expectations.
• New source onboarding: requirements source profiling ingestion design QA documentation support ownership.
• Legacy migration: helping retire brittle reporting paths such as Azure Data Factory, SQL backup workflows, TRS Daily, and other duplicate pipelines.

### Governance & Quality

* Snowflake platform operations: