Head of Data Platform

About the role

This role owns the entire data substrate that makes the Dealer Intelligence Platform loop possible. It involves designing and implementing a transactional platform into a decision engine for 5,000+ dealer tenants.

Responsibilities

• Audit every data store, pipeline, integration flow, and DynamoDB Stream.
• Map the current entity model against the v2 optimization-function requirements.
• Publish the first data architecture ADR.
• Identify and define the canonical entity schemas for Silver and Gold.
• Stand up the Feature Store (online + offline).
• Migrate the first round of features from Gold derivations.
• Build the Action Ledger schema and approval-gateway integration.
• Deliver the first data migration wave with dual-write validation.
• Ship automated data quality monitoring that catches drift before it reaches a model.
• Develop the Pricing Optimizer data pipeline in production.
• Define and implement data contracts for the Lead Routing or Inventory Mix optimization function.
• Implement drift detection and auto-rollback in Model Monitor.
• Prove incremental lift to dealers through outcome dashboards.
• Document the data platform roadmap for the next 12 months.

Requirements

• 7+ years in data engineering or data architecture with at least 2 years in a platform-level architect or Head-of role.
• Deep experience with both relational (MySQL/PostgreSQL/Aurora) and NoSQL (DynamoDB, DynamoDB Streams) data modeling.
• Hands-on experience building or operating feature stores.
• Hands-on experience with AWS data and ML services.
• Current, practicing AI/Gen-AI practitioner.
• Experience with streaming and CDC patterns.
• Experience with data pipeline orchestration.
• Understanding of data migration patterns.
• Experience with multi-tenant data architectures.
• Strong data governance instincts.
• The ability to write a data architecture doc and make engineering decisions.
• Hands-on experience with SageMaker and AWS Bedrock.
• Experience with embeddings pipelines and retrieval systems.
• Experience with closed-loop data systems.
• Experience with data quality and anomaly detection at scale.
• Understanding of multi-tenant AI governance.
• Experience with automotive, fintech, or multi-tenant marketplace data.
• Familiarity with data formats and protocols from third-party providers.
• Experience with constrained optimization, assignment problems, or scheduling solvers.
• Experience with event-driven and streaming data architectures.
• Experience with vector databases and open table formats.

Benefits

• Comprehensive medical, dental, and vision benefits.
• Employer provided STD/LTD and life insurance.
• Matching 401k plan.
• Unlimited paid time off, including 10 paid holidays.
• Real ownership of a high-stakes AI surface.

Pay

$160,000 - 195,000 per year

Schedule

Contract