Big Data Engineering Lead

Role Description

We are currently searching for a Big Data Engineering Lead:

• Provide technical leadership, engineering delivery, and quality assurance for the Data Foundation platform.
• Lead the team responsible for building and maintaining enterprise data pipelines, data products, canonical data models, and data services to enable analytics, AI, integration, and operational reporting.
• Partner closely with the Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable, trusted, and maintainable data solutions aligned with enterprise standards and strategic objectives.
• Take accountability for engineering execution, solution quality, operational reliability, and the development of a high-performing data engineering team.
• Successfully deliver Data Foundation engineering commitments while ensuring data pipeline reliability, performance, and scalability.
• Drive data quality improvements across enterprise data assets, adopt engineering standards, reduce technical debt, and improve operational stability through incident reduction.
• Increase reuse of canonical data models, data products, and engineering frameworks.

Qualifications

• 8+ years of experience in data engineering, software engineering, or enterprise data platform development.
• 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives.
• Proven experience designing and delivering enterprise data platforms, pipelines, and data products.
• Experience operating within agile software development environments.
• Advanced SQL and data modeling expertise.
• Strong Python and PySpark development experience.
• Deep understanding of ETL and ELT architecture patterns.
• Strong technical leadership, coaching capabilities, and problem-solving skills.
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Requirements

• Experience implementing Master Data Management solutions.
• Experience building RESTful APIs and data services.
• Familiarity with GraphQL and modern integration approaches.
• Understanding of microservices-based architectures.
• Experience implementing event-driven and real-time data processing solutions.
• Strong understanding of data quality frameworks, metadata management, and data lineage concepts.
• Familiarity with cloud-native foundations or AI coding assistants.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

• Remote