VP, Principal Data Engineer

Qualifications

• Bachelor's degree required in Computer Science, Computer Information Systems, Information Systems, Information Technology, Computer Engineering, or equivalent work experience.
• 12+ years of progressive data engineering experience, including hands-on ETL/ELT development, data warehouse design, and enterprise data pipeline delivery.
• 8+ years of experience with ETL development tools and concepts, with deep expertise in Informatica / IICS, Databricks or other similar technologies.
• 5+ years of experience with cloud data platforms including Azure (Synapse Analytics, Azure Data Factory, Azure Databricks) and Snowflake.
• Strong hands-on proficiency in Databricks (Delta Lake, Spark, notebooks, workflows) and Snowflake (data sharing, Snowpark, dynamic tables).
• 3+ years of experience with job scheduling tools such as Autosys or comparable distributed schedulers.
• 3+ years of scripting experience in Python, Shell, or comparable languages for pipeline automation and tooling.
• Demonstrated ability to architect and deliver no-touch, fully automated data pipelines in an enterprise environment.
• Proven track record of driving engineering transformation: adopting modern practices (CI/CD, infrastructure-as-code, automated testing, AI-assisted tooling) in a large, complex data organization.
• Strong understanding of data warehousing concepts including dimensional modeling, data lineage, data quality frameworks, and enterprise DW architecture.
• People leadership required: must have managed direct-report senior data engineers and/or technical leads. Demonstrated experience governing distributed and offshore engineering teams required; this role carries ultimate engineering accountability for products delivered by those teams, including standards adherence, quality, and technical direction.
• Excellent communication skills; able to translate engineering complexity into clear, credible language for both technical teams and executive stakeholders.
• Insurance industry experience preferred; P&C domain knowledge (financial reporting, actuarial data, claims, regulatory/bureau reporting) a strong plus.
• Location: must be based in Whitehouse Station or Jersey City, NJ, Philadelphia, PA, or Simsbury, CT.