Lead Data Engineer

Vori • San Francisco, CA

1d

About The Position

Vori is building the operating system for grocery. Data is at the core: item catalogs, invoices, movements, pricing, promotions, loyalty, and payments all flow through our platform.
We have Forward Deployed Engineers with strong data engineering backgrounds who build integrations and pipelines to onboard customers fast. What we need now is a Lead Data Engineer to own the ETL strategy and data platform end-to-end—setting standards, scaling our orchestration and reliability, and making data a durable competitive advantage.
This is a hands-on leadership role. You’ll architect and build, but you’ll also set direction, create the playbooks, and level up the team around correctness, observability, and speed.

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.
• Strong analytical mind with comfort in probability and statistics (sampling, anomaly detection, false positives/negatives).
• You reason clearly about uncertainty and tradeoffs, and you can explain them simply.

Nice To Haves

• CDC/streaming experience, event-driven architectures.
• Experience building semantic layers / metrics governance.
• GCP + BigQuery (or equivalent) experience.

Responsibilities

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees