Senior Data Governance Engineer

• Enterprise Data Dictionary, Metadata & Lineage:
  • Own the development, implementation, and ongoing maintenance of AIT's enterprise data dictionary.
  • Establish consistent definitions, naming standards, metadata, business terminology, and technical documentation for enterprise data assets.
  • Develop and maintain lineage and source-to-target documentation that improves transparency and trust in enterprise data.
  • Partner with business stakeholders, data owners, and subject matter experts to validate definitions and resolve inconsistencies.
  • Integrate data dictionary, metadata, catalog, and governance practices with Unity Catalog, Databricks, and related enterprise tooling.
  • Drive adoption of common data definitions and make trusted information easier for teammates to discover and understand.
  • Establish the review cadence, change-control process, and ownership model that keep definitions current as the business evolves.
• Platform Configuration, Provisioning & Access Management:
  • Administer Databricks workspace and Unity Catalog configuration, including catalogs, schemas, grants, groups, service principals, and related platform settings.
  • Own user and workload provisioning and permissioning across the platform — onboarding, role and entitlement assignment, periodic access review, and deprovisioning.
  • Administer and secure the AWS environment supporting AIT's Databricks platform, including IAM, S3, networking, connectivity, and permissions.
  • Establish and maintain security, access, resource, and configuration standards, and document them so access decisions are consistent and auditable.
  • Monitor platform capacity, utilization, and cloud costs, and apply FinOps and cost-governance controls for Databricks and associated AWS resources.
  • Partner with infrastructure, security, and technology teams to ensure the platform meets AIT requirements for availability, security, scalability, and operational support.
• AI-Enabled Data Discovery & Delivery:
  • Use Databricks Genie and other approved AI and GenAI capabilities to improve enterprise data discovery, analytics, documentation, and self-service.
  • Configure and curate AI-enabled data experiences that allow users to interact more effectively with governed enterprise data.
  • Ensure the dictionary and metadata layer is structured to support reliable AI-assisted discovery and natural- language querying.
  • Identify opportunities to automate or accelerate documentation and data-management activities through AI- assisted tooling.
  • Establish appropriate patterns and guardrails for reliable use of AI-enabled data capabilities.
  • Evaluate emerging Databricks and AI capabilities and recommend adoption where they provide measurable business value.
• Data Platform Engineering & Automation:
  • Build and maintain targeted data pipelines and transformations in Databricks using SQL, Python/PySpark, and Delta Lake to support governance, documentation, and reporting needs.
  • Automate recurring platform, provisioning, and documentation tasks through scripting, platform APIs, and Infrastructure as Code such as Terraform.
  • Implement data quality controls, monitoring, and alerting, and drive data reliability issues to resolution.
  • Apply sound engineering practices for source control, testing, deployment, and observability in the work this role produces.
  • Support existing pipelines and troubleshoot platform, access, and data-processing issues in partnership with the broader data engineering team.
  • Produce clear technical documentation and operational procedures that improve platform sustainability and supportability.
• Collaboration & Technical Leadership:
  • Partner with technology teams, analysts, business stakeholders, data owners, and other subject matter experts to translate requirements into governed, well-documented data.
  • Contribute to AIT's data governance, security, access-control, retention, lineage, and lifecycle-management standards.
  • Provide technical leadership, mentoring, and knowledge sharing to teammates working with AIT's data platform.
  • Communicate complex technical and data-definition concepts clearly to both technical and non-technical audiences.
  • Proactively identify platform and governance risks, gaps, and opportunities and recommend practical paths forward.
  • As the data platform function grows, take on additional leadership responsibilities, which may include future direct reports.
• Performs other duties as assigned
• Complies with all policies and standards
• The wage range for this position is $118,330-$177,490 and may vary based on geography as well as relative knowledge, skills, abilities, and experience.

Education
• High School (required)
• Bachelor's Degree Computer Science, Engineering, Information Systems, Data Science, or a related technical field (required)

Experience
• 5+ years Data governance, data management, analytics engineering, or data platform experience, including hands-on work with modern cloud data technologies (required)
• 3+ years Administering or configuring cloud-based data platforms on AWS, including IAM, S3, networking, security, and access management (required)
• 3+ years Hands-on Databricks experience, including Unity Catalog administration, permissions, and Delta Lake (required)
• 3+ years Developing or maintaining enterprise data dictionaries, metadata, data catalogs, business glossaries, lineage, or related data-governance capabilities (required)
• 1+ years Using AI/GenAI-enabled tools, such as Databricks Genie, for data discovery, analytics, engineering, or documentation (preferred)

Knowledge, Skills, and Abilities
• Strong Communication skills and cross-functional collaboration 

Databricks administration, including Unity Catalog, permissions, and Delta Lake 
• AWS platform administration, including IAM, S3, networking, security, and FinOps - Advanced
• SQL, Python, and PySpark for data transformation, scripting, and automation - Intermediate
• Data modeling, metadata management, data dictionaries, business glossaries, and data catalogs 
• Databricks Genie and AI-assisted data tooling- Advanced Medium
• CI/CD, Git, automation, and Infrastructure as Code such as Terraform 
• Data governance, data quality, security, and lineage
• Access provisioning, permissioning, and identity/entitlement administration

• Problem solving, navigating ambiguity, and creating structure
• Technical documentation and knowledge sharing 
• Performance optimization, troubleshooting, and root-cause analysis 
Licenses and Certifications
• - Databricks Certified Data Engineer — Associate (or higher) (required)
• - AWS Certified Solutions Architect — Associate (or higher) (preferred)

AIT Worldwide Logistics is a global freight forwarder that helps companies grow by expanding access to markets all over the world where they can sell and/or procure their raw materials, components and finished goods. For more than 40 years, the Chicago-based supply chain solutions leader has relied on a consultative approach to build a global network and trusted partnerships in nearly every industry, including aerospace, automotive, consumer retail, energy, food, government, high-tech, industrial, life sciences and marine. Backed by scalable, user-friendly technology, AIT’s flexible business model customizes door-to-door deliveries via sea, air, ground and rail—on time and on budget. With expert teammates staffing more than 150 worldwide locations in Asia, Europe and North America, AIT’s full-service options also include customs clearance, warehouse management and white glove services.

AIT Worldwide Logistics is an Equal Opportunity Employer – M/F/Veterans/Disabled. If you are unable to apply online due to a disability, contact Human Resources at 630-766-8300 ext 5218.