$140K - 180K a year
Lead data engineering team by providing technical direction, designing data platform architecture, ensuring data governance, and aligning with enterprise standards.
8+ years in big data and enterprise data architecture, 5+ years with data lake platforms and distributed processing, 3+ years cloud experience, strong SQL and data governance skills.
Description: • Provide thought leadership and technical direction to the data engineering team in building analytic data products • Understand and translate business requirements to data strategies that align with overall technology vision • Design, develop and enforce standards for the data storage, processing and governance across all environments • Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns • Develop, document and maintain overall view of data platform architecture, data acquisition, data quality, and data retention • Provide formal and informal training for data engineers, platform engineers and ETL developers • Maintain knowledge of emerging technologies and architectures • Document and publish technical principles and standards, and mentor the data engineering team to incorporate them into their daily practices • Champion and present the technical vision to the executive team and business stakeholders Requirements: • 8+ years of overall experience in big data, database and enterprise data architecture, delivery and programming proficiency in a subset of Python, Java, and Scala • 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms, building solutions on distributed processing frameworks such as Spark, Hadoop • 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred • Strong SQL skills to create/maintain DB objects, query/load required data using data governance (e.g. business glossary, data dictionary, data catalog, data quality, master data management, etc.) and visualization tools to bring data literacy to the organization • Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture and slowly changing dimensions Benefits: • generous, flexible vacation policy • 401(k) employer match • comprehensive health benefits • educational assistance • leadership and technical development academies • opportunity to grow career and add technical credentials and certifications
This job posting was last updated on 9/9/2025