Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Senior Data Engineer building data infrastructure and analytics solutions for Scribe's 5M+ users. Collaborating with teams to ensure data-driven decisions across the organization.
Responsibilities
- Work with the Data Engineering team and report to Fardad Golshany, partnering closely with Engineering, Product, GTM, and Finance teams.
- Design and build scalable analytics data marts in Snowflake using dbt that enable data science and insights across multiple business domains.
- Maintain existing data pipelines and build new ETL and reverse ETL workflows to ensure reliable data movement across systems.
- Stand up and scale orchestration infrastructure using Dagster or Airflow, implementing monitoring and alerting via Metaplane.
- Build dynamic executive-facing dashboards in Sigma to reduce time to insight and enable AI-powered self-serve analytics.
- Establish data governance standards with automated testing, comprehensive documentation, and semantic definitions that reduce ad-hoc queries.
- Optimize dbt pipeline performance by implementing incremental models, improving materializations, and applying engineering best practices.
Requirements
- You have 4+ years building production data pipelines and analytics infrastructure in cloud-native environments, with deep expertise in SQL and data transformation at scale.
- You bring advanced production experience with dbt (2+ years), including writing macros, packages, and implementing best practices, plus hands-on experience with Snowflake performance tuning and cost optimization.
- You have production experience with orchestration tools (Dagster or Airflow) and understand DAG design, dependency management, and monitoring.
- You've built executive-level dashboards and BI solutions in Sigma (or similar tools) and understand how to structure semantic layers and optimize data models for AI-powered analytics.
- You understand dimensional modeling and analytics architecture — designing data marts, fact/dimension tables, and semantic layers comes naturally to you.
- You work autonomously and drive complex projects end-to-end, thriving in ambiguity while communicating clearly with business stakeholders across all levels.
Benefits
- Incredible teammates: Work alongside some of the nicest and smartest people you'll ever meet.
- Ownership mindset: We're all owners here, literally. Employees receive equity in Scribe, sharing in the company's long-term success.
- Comprehensive coverage: We offer health, dental, and vision insurance for you and your dependents.
- Time to recharge: Flexible paid time off, plus company holidays to rest and reset.
- Retirement planning: Employees can contribute to a 401(k) plan to help plan for their future.
- Support for growing families: Paid parental leave to help you care for and bond with your growing family.
- Lunch, on us: SF-based employees receive daily catered lunches at our office.
- Easy commutes: Commuter benefits for our office-based team, make getting to and from HQ simpler.
- Level up your home office: Remote? Hybrid? Wherever you work, we'll support your setup with a home office stipend.
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