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Head of Data Platform

3 weeks, 1 day ago
United States
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Airflow AWS CircleCI CloudFormation DynamoDB JSON MySQL OpenSearch OpenTelemetry REST API SOAP SQL XML
Apply Now
A2Z Sync

A2Z Sync

A2Z Sync provides Dealership Desking, Menu & F&I Centralized Dealership Desking Tools, F&I and Menu software for automotive dealerships. Their platform enables automotive groups to transact faster with higher profitability, simplifying the car buying e...

Internet Software & Services
51-250
Founded 2017
View All Jobs 2

Description

  • Own the end-to-end data platform, including Bronze, Silver, and Gold layers, the Feature Store, and the Action Ledger.
  • Design and implement feature store architecture for online low-latency serving and offline point-in-time training joins.
  • Build the model data pipeline that prepares features, assembles training data, and supports SageMaker and Bedrock workloads.
  • Define and execute the legacy data migration strategy, including table placement, dual-write validation, and zero-downtime cutover patterns.
  • Create and operate automated data quality and anomaly detection for schema drift, null spikes, freshness issues, and inconsistent integrations.
  • Establish data governance controls for retention, PII handling, audit integrity, and multi-tenant AI governance.
  • Design streaming and event-driven data flows using DynamoDB Streams, EventBridge, CDC, and real-time feature materialization.
  • Publish data architecture documentation, canonical entity schemas, and optimization-function data contracts.
  • Collaborate cross-functionally on optimization-function data modeling, feature catalogs, and approval-gateway integrations.
  • Review critical-path SQL, pipelines, schemas, and pull requests with strong implementation rigor.

Requirements

  • 7+ years of experience in data engineering or data architecture, including at least 2 years in a platform architect or Head-of role.
  • Deep experience with relational and NoSQL modeling, including MySQL, PostgreSQL, Aurora, DynamoDB, and DynamoDB Streams.
  • Hands-on experience building or operating feature stores with online serving, offline training, point-in-time correctness, and freshness SLAs.
  • Hands-on experience with AWS data and ML services such as Glue, Athena, S3, DynamoDB, Lake Formation, Aurora, and SageMaker.
  • Current hands-on experience preparing data for LLMs, embeddings, or ML models in production.
  • Experience with streaming and CDC patterns such as DynamoDB Streams, Kinesis, EventBridge, or Kafka.
  • Experience with data pipeline orchestration tools such as NiFi, Airflow, or Step Functions.
  • Experience with data migration patterns including dual-write, CDC, reconciliation validation, and zero-downtime cutover.
  • Experience with multi-tenant data architectures and trade-offs such as database-per-tenant, schema-per-tenant, and row-level security.
  • Strong data governance discipline covering retention, PII handling, audit trails, cost attribution, and enforceable controls.
  • Ability to write unambiguous data architecture documents and step in to write SQL or pipeline code when needed.
  • Hands-on experience with SageMaker model lifecycle tooling such as training pipelines, model registry, Model Monitor, and drift response.
  • Hands-on experience with AWS Bedrock, including Knowledge Bases, model invocation, guardrails, and production deployment.
  • Experience building embeddings pipelines or retrieval systems for semantic search, recommendations, or RAG.
  • Experience building closed-loop data systems with action telemetry, outcome attribution, A/B holdouts, and lift measurement.
  • Experience with data quality and anomaly detection at scale, including feature/training skew and freshness monitoring.
  • Understanding of multi-tenant AI governance, including PII redaction, tenant-scoped inference, per-dealer routing, cost attribution, and audit logging.
  • Nice to have experience in automotive, fintech, or multi-tenant marketplace data environments.
  • Nice to have familiarity with third-party dealer data providers and formats such as CDK, DealerTrack, Tekion, SOAP/XML, REST, JSON, and email.
  • Nice to have experience with constrained optimization, assignment problems, or scheduling solvers.
  • Nice to have experience with vector databases such as OpenSearch or Pinecone.
  • Nice to have experience with open table formats such as Iceberg or Delta Lake.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Employer-provided STD/LTD and life insurance.
  • Matching 401(k) plan.
  • Unlimited paid time off, including 10 paid holidays.
  • Fun, casual, and collaborative culture.
  • Opportunity to own a high-stakes AI/data platform roadmap and architecture decisions.
  • Meaningful impact on customer outcomes and dealer profitability.

Interested in this position?

Apply directly on the company website

Apply Now

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