Head of Data Engineering

🕒 il y a 9 jours

🏖️ New Jersey – Distant

🏖️ New Jersey – Remote

💵 $200 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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TRANZACT

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1997

TRANZACT est une entreprise pour laquelle les informations disponibles n'ont pas pu être récupérées à partir de la source fournie car l'application web nécessite un navigateur avec JavaScript activé pour afficher le contenu. Basé uniquement sur l'entrée fournie (un message de chargement/application), il y a trop peu de détails publiquement disponibles pour décrire avec certitude les activités, produits, services ou la taille de l'entreprise. Des informations supplémentaires ou une autre source de texte sont nécessaires pour produire une description précise de l'entreprise et pour sélectionner les secteurs d'activités applicables.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.