Fora Financial

Data Engineer

• Build and own the platform backbone for governed reporting and trusted AI workflows.
• Make strategic architecture calls and build, harden, or rebuild pipelines.
• Partner closely with Analytics, Engineering, and vendors to turn fragmented source systems into trustworthy data products.
• Ensure our data infrastructure integrates securely and reliably with core operational systems.
• Handle requirements, source profiling, ingestion design, QA, documentation, and support for data integrations.
• Manage dependencies, retries, alerts, incident response, and monitoring for pipeline reliability.
• Help retire brittle reporting paths and manage Snowflake governance, data contracts, and data observability.

Staff Data Engineer

Analytics Engineer

• dbt at Fora: project structure, conventions, CI/CD, tests, contracts, documentation, and performance.
• Data models across bronze, silver, and gold layers.
• The semantic layer (dbt MetricFlow or equivalent): metric definitions, dimensions, governance, and adoption.
• Production operation of the transformation layer: jobs, dependencies, failures, retries, alerts, environments, and release hygiene.
• Python tooling for validation, dbt utilities, lightweight automation, and integrations.
• Data quality, test coverage, and observability for modeled tables.
• Partnership with Risk & Analytics to formalize business metrics currently spread across SQL, Tableau, and analyst knowledge.

Senior / Staff Analytics Engineer

Application Engineer

• Serve as a primary point of contact for technical application support.
• Triage incoming support cases, determine severity and impact.
• Troubleshoot application issues across the full support stack.
• Provide hands-on support for web browser-related issues.
• Investigate and resolve data issues using SQL Server.
• Support and troubleshoot applications built on the .NET (C#) framework.
• Monitor, investigate, and document application issues within Azure cloud environments.
• Use Azure DevOps to log, track, and update incidents and defects.
• Escalate complex issues to engineering teams with clear documentation.
• Validate fixes and communicate resolution updates clearly to users.
• Support application releases by assisting with smoke testing and post-deployment validation.
• Create and maintain support documentation and knowledge base articles.
• Manage multiple active support cases while meeting response and resolution expectations.

Staff Data Engineer

Senior / Staff Analytics Engineer

Application Support Engineer