Director, Data Engineering & Analytics — Shape Data Strategy

relationinsurance; United States; Remote; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health benefits

Retirement savings

Employee assistance

Paid time off

Holidays

Job summary

relationinsurance is seeking a Director of Data Engineering to own the strategy and day-to-day delivery of enterprise data initiatives in the United States. The role blends hands‑on development with setting technical standards, executive partnership, and team leadership to build secure, reliable data products that inform business decisions.

You will design production pipelines, standardized metrics, and dashboards, while guiding AI-assisted validation and ensuring audit-ready data governance.

Qualifications

• Must lead end-to-end data engineering and analytics delivery.
• Proficient in SQL, Python, and PySpark for pipeline development.
• Experience with lakehouse, ELT, orchestration, testing, reconciliation, observability, and production support.
• Knowledge of data access controls, secure handling, and audit-ready processes.
• Strong communication to executives and nontechnical partners.

Responsibilities

• Turn executive priorities into a practical data roadmap and deliver outcomes.
• Build and support production pipelines, curated datasets, and domain models.
• Define architecture and standards for data integration, modeling, governance, security, quality, reporting, and analytics.
• Standardize business metrics and semantic models, and deliver dashboards and self‑service reporting.
• Communicate platform health, delivery progress, data quality, and risk to executives, auditors, and business partners.
• Guide the use of AI coding agents and automated validation, review generated work, and protect sensitive data through approved practices.

Skills

SQL

Python

PySpark

Data pipelines

Lakehouse architecture

Job description

relationinsurance is seeking a Director of Data Engineering to own the strategy and day-to-day delivery of enterprise data initiatives in the United States. The role blends hands‑on development with setting technical standards, executive partnership, and team leadership to build secure, reliable data products that inform business decisions.

You will design production pipelines, standardized metrics, and dashboards, while guiding AI-assisted validation and ensuring audit-ready data governance.