Director of Data Engineering

Jet Support Services, Inc. (JSSI)

Director of Data Engineering overseeing Microsoft Fabric and Azure data platform initiatives at JSSI. Leading a team and enabling analytics and AI by ensuring data quality and reliability.

Posted 5/26/2026full-timeChicago • Illinois • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Own the Microsoft Fabric Platform — 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
Design, build, and operate reliable data pipelines that connect source systems into clean, usable data
Establish monitoring, alerting, and SLA standards for pipeline reliability
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
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
Manage and mentor a team of 2–5 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 JSSI's broader data strategy.

Requirements

What you’ll need

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
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
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.

Benefits

Comp & perks

JSSI is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills & Tools

data engineeringMicrosoft FabricLakehouse architectureWarehouse architectureSQLPythonETL pipelinesdata governancesemantic layer designAI/ML data patterns

Soft Skills

leadershipteam managementcommunicationcollaborationhigh ownership mindsetmentoringproblem-solvingcross-functional partnershiptechnical directionculture building