Staff Data Engineer

The role

You will be the technical owner of a multi-tenant transformation platform that unifies customer brands into a single golden data model. You will design tenant-onboarding models, own correctness guarantees, and build systems to expose data to AI agents.

What you will do

• Design the tenant-onboarding model to drive source routing and transformation from a single source of truth
• Own correctness guarantees across tenants and models through contracts, audits and CI gates
• Own the org-identity and access layer including tenant provisioning and multi-tenant isolation
• Build platform machinery to allow the data ontology to grow without breaking downstream systems
• Partner with field engineers and customers to add new concepts to the canonical model
• Build systems to expose data to internal and external AI agents via MCP servers and vector search
• Own the substrate for agentic workflows including guardrails, validation and observability
• Lead the evaluation and migration of the orchestration and transformation stack
• Architect the path to real-time by syncing analytical warehouses with product backends
• Define how pipelines are built, tested, deployed and governed

Required qualifications

• 5+ years in data/software engineering in a data-heavy context
• Real ownership of a production data platform at scale
• Expert Python and SQL
• Deep experience with transformation and orchestration tooling (SQLMesh, dbt, Airflow or equivalent)
• Strong grasp of analytical warehouses (Snowflake/Redshift/BigQuery) and transactional stores (Postgres/MySQL)
• A track record of multi-tenant design
• Demonstrated judgment on the stability vs. speed of development tradeoff
• Experience evolving a schema, data model or ontology in production
• Interest in (or experience) exposing data to AI agents (MCP, vector search, semantic layers, retrieval)
• Comfort owning ambiguous, cross-cutting initiatives end-to-end in a lean, fast-changing environment
• Willing to work onsite in NYC

Nice to have

• Lakehouse or Spark experience and comfort handling very large datasets
• Built or operated a CDP, identity graph or reverse-ETL/activation system
• Strong communication skills, preferably has interfaced with enterprise customers before
• Data lineage and reactive-propagation systems; streaming (Kafka/Flink/Snowpipe)
• Backend or ML/AI-eng exposure; feature engineering and training infra
• Heavy and efficient use of AI coding tools (Claude Code, Cursor, etc.)
• Built infrastructure for agentic or LLM workflows on top of data (OpenAI Agents SDK, MCP servers, vector DBs, retrieval and eval harnesses)
• Prior early-stage startup experience

Benefits

• Meaningful equity
• Medical
• Dental
• Vision
• Relocation provided

About the company

Minerva builds AI for marketing leaders to automate and accelerate workflows with AI agents. The company has raised $20M from various investors.