Lead and manage the Data Engineering team, providing technical guidance, coaching, and career development while ensuring high standards of delivery and operational excellence.
Own the end‑to‑end data architecture and data pipelines for new and existing datasets, including ingestion, transformation, storage, and consumption layers.
Design, maintain, and evolve data models that support analytics, reporting, operational use cases, and external data consumers.
Restructure and modernize existing data structures to improve performance, scalability, reliability, and ease of use for internal stakeholders and external partners.
Establish and enforce data engineering best practices, including data quality standards, documentation, testing, governance, and security.
Collaborate cross‑functionally with product, analytics, engineering, and business stakeholders to translate requirements into robust and scalable data solutions.
Ensure reliability and operational health of data pipelines, including monitoring, issue resolution, and performance optimization.
Drive continuous improvement through adoption of new tools, technologies, and architectural patterns that align with organizational goals.

Requirements

7+ years of experience in data engineering
Strong experience designing and maintaining large‑scale data pipelines and data architectures.
Proficiency with modern data technologies (e.g., cloud data platforms, data warehouses, ETL/ELT tools).
Experience restructuring or modernizing existing data models or platforms.
Strong understanding of data governance, quality, security, and compliance best practices.
Excellent communication skills with the ability to work effectively across technical and non‑technical teams.
2+ years in a people leadership role (preferred)
Experience supporting both internal analytics and external data consumers or partners (preferred)
Familiarity with domain‑driven data modeling and data mesh or similar architectures (preferred)
Experience working in fast‑paced, scaling organizations (preferred)
Background in mentoring and growing high‑performing engineering teams (preferred)

Benefits

Health Insurance
Retirement Plan
Disability benefits
Paid Time Off program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architecturedata pipelinesdata modelsETL toolsELT toolsdata governancedata qualitydata securitydata compliance

Soft Skills

leadershipcommunicationcollaborationcoachingtechnical guidancecareer developmentproblem-solvingcross-functional teamworkmentoringcontinuous improvement