
Lead Data Engineer
Vori
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Job Level
About the role
- Lead the design and evolution of our data platform and ETL/ELT
- Own our orchestration layer: asset design, partitioning strategies, sensors/schedules, backfills/replays, retries, and operational best practices.
- Own pipelines that ingest data from real customer systems (CSV/EDI/API/SFTP, PDFs/OCR).
- Own data checks and monitoring (freshness, duplicates, drift, broken joins).
- Define core data models and metric definitions with Product/Engineering/Ops.
- Improve performance and cost in the warehouse.
- Set engineering standards and mentor the engineers doing data work.
- Help hire and grow the data engineering function over time.
Requirements
- Expertise in data engineering / analytics engineering / data platform roles (or equivalent depth).
- Proven experience designing and scaling data platforms and ETL/ELT systems in production.
- Experience with unstructured ingestion (OCR pipelines, document parsing)
- Excellent SQL and strong fundamentals in data modeling (facts/dims, grains, SCD patterns, avoiding double counts).
- Real operational experience: idempotency, backfills, schema evolution, observability, and incident response for data.
- Startup mindset: you can move fast, prioritize ruthlessly, and build leverage with limited resources.
Benefits
- Mission-driven team building tech that helps local businesses thrive
- Backed by top investors and advisors from Stripe, Uber, Palantir, and Toast
- Real revenue, real growth, and a massive market opportunity
- A chance to shape not just marketing—but the company's future
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringanalytics engineeringdata platform designETLELTSQLdata modelingunstructured ingestionOCR pipelinesincident response
Soft skills
leadershipmentoringprioritizationadaptabilityproblem-solving