Head of Data Engineering
Location
New Jersey
Posted
7 days ago
Salary
$200K / year
Seniority
Lead
Job Description
Head of Data Engineering
TRANZACT
• Define and evolve the end-to-end data platform strategy across ingestion, transformation, storage, and serving—anchored on Databricks (Lakehouse, Delta, Unity Catalog) and PostgreSQL—with production-grade reliability and cost efficiency. • Establish an AI-first data engineering practice: standard patterns, SDKs, and golden paths that use AI to accelerate pipeline development, testing, documentation, and operations across teams. • Stand up enterprise-grade data governance and data security: cataloging, lineage, access controls, data quality, PII handling, and policy enforcement across the platform. • Build and lead high-performing data engineering teams—hiring, mentoring, and setting the technical bar—while driving measurable improvements in delivery velocity and platform trust. • Uplift the broader Engineering and Data organizations by sharing reusable components, best practices, and self-service capabilities that reduce bottlenecks and vendor dependency. • Serve as the accountable leader for critical data initiatives, driving requirements → architecture → implementation → launch → post-launch learning. • Architect scalable, reliable data pipelines and platform services on Databricks and PostgreSQL, supporting batch and streaming workloads across marketing, sales, and servicing domains. • Define and roll out an AI-first engineering workflow—leveraging AI coding assistants, agentic tooling, and automated eval/QA gates—to accelerate data engineering outcomes without compromising quality or security. • Establish data governance standards: Unity Catalog (or equivalent), lineage, data contracts, freshness and quality SLAs, and asset lifecycle management. • Own data security posture in partnership with Security and Compliance: role-based access, audit trails, encryption, PII/PHI handling, and regulatory alignment appropriate to insurance data. • Set engineering standards and review designs, PRs, data models, and architecture; drive adoption through documentation and enablement. • Lead vendor and tooling evaluation, and make build/buy/insource recommendations aligned to unit economics, reliability, and IP strategy. • Recruit, mentor, and develop engineers; host tech talks and cultivate a culture of ownership, experimentation, and continuous improvement.
Job Requirements
- 10+ years in data engineering or related distributed systems; 4+ years leading and building data engineering teams.
- Proven, hands-on experience leveraging AI to accelerate data engineering outcomes (e.g., AI coding assistants, agentic tooling, LLM-assisted pipeline development, testing, or operations).
- Deep expertise with Databricks or equivalent (Lakehouse, Delta Lake, Spark, Unity Catalog) and PostgreSQL in production.
- Demonstrated ownership of data governance and data security programs: cataloging, lineage, access control, data quality, and PII handling.
- Strong engineering fundamentals in Python and SQL; experience designing scalable ETL/ELT and streaming architectures.
- Track record of setting technical standards and delivering complex data initiatives from architecture through launch.
- Excellent communicator and mentor, effective with stakeholders across technical and non-technical domains.
- Bachelor's degree in Computer Science or related field required.
Benefits
- Medical (including prescription coverage)
- Dental
- Vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Group Accident
- Group Critical Illness
- Life Insurance
- AD&D
- Group Legal
- Identify Theft Protection
- Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
- Paid Holidays
- Annual Paid Time Off (includes state/local paid leave where required)
- Short-Term Disability
- Long-Term Disability
- Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave)
- Savings Plan with annual nonelective company contribution.
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