Director of Data Engineering

Own the Microsoft Fabric Platform

• Serve as the technical owner of JSSIs Microsoft Fabric environment architecture governance performance and access control

• Drive the roadmap for the platform including CI/CD enablement Git integration and centralized ingestion workspace design

• Manage Fabric capacity right-sizing backup and disaster recovery

Build and Maintain Data Pipelines

• Design build and operate reliable data pipelines that connect source systems into clean usable data

• Establish monitoring alerting and SLA standards for pipeline reliability

Define the Data Foundation

• Establish a single source of truth across all systems and acquisitions ensuring every team is working from the same numbers

• Build and maintain enterprise semantic models that serve analytics reporting and AI use cases

• Partner with the data governance function to implement Microsoft Purview for cataloging classification and data privacy standards

Enable Analytics and AI

• Make the analytics team faster by solving data quality and availability issues at the source

• Build the data foundation that AI initiatives depend on enabling the organization to move from insight to action

• Develop and support AI data agents to expand analytics delivery across the organization

• Responsible for supporting ML initiatives (not just AI agents)

Lead and Grow the Team

• Manage and mentor a team of 25 data engineers setting technical standards and fostering a high-performance culture

• Partner cross-functionally with analytics product and business stakeholders to prioritize and deliver

• Represent the data engineering function in leadership discussions and help shape JSSIs broader data strategy

Experience

• 10 years of experience in data engineering with a track record of building and scaling data platforms in production environments

• 3 years in a leadership role managing engineers with demonstrated ability to develop talent and build team culture

• Experience as a player-coach comfortable rolling up your sleeves while also setting direction for the team

Technical Skills

• Deep expertise with Microsoft Fabric including Lakehouse and Warehouse architecture pipelines and OneLake

• Strong hands-on experience with Azure cloud infrastructure and Azure Data services

• Proficiency in SQL and Python for data engineering and pipeline development

• Experience designing and implementing ETL pipelines across complex multi-source environments

• Familiarity with CI/CD practices and Git-based deployment workflows for data platforms

• Experience with data governance platforms (Microsoft Purview preferred) and semantic layer design

• Working knowledge of Power BI and enterprise reporting architectures

• Familiarity with AI/ML data patterns and building data products that support machine learning use cases

Leadership and Collaboration

• Strong communicator who can translate technical complexity into clear language for business stakeholders

• Collaborative partner who works well across analytics product and business teams

• High ownership mindset you treat data as a product and hold yourself accountable for its quality and reliability