Data Engineering Manager — Platform & Analytics

WHAT YOU WILL DO

This position is responsible for leading Thompson Machinery’s data engineering function and delivering reliable, secure, and scalable data solutions that enable reporting, analytics, and data-driven decision making across the organization. Reporting to the Director of IT, the Data Engineering Manager manages a team of data engineers who primarily build and support solutions using Microsoft Power Platform technologies (including Dataverse and Microsoft Fabric) as well as Microsoft database platforms such as SQL Server.

The team is heavily involved in data integration, data security, data warehousing, ETL/ELT processes, and medallion architecture (Bronze/Silver/Gold), and supports Business Intelligence and Analytics teams by developing semantic models and curated datasets. Success in this role requires strong delivery leadership, clear communication, and the ability to collaborate effectively with diverse teams while translating business needs into actionable technical solutions.

• Own end-to-end delivery of data engineering initiatives, including integrations, pipelines, warehousing, and semantic model enablement.
• Establish clear ownership of scope, priorities, timelines, and outcomes; communicate tradeoffs and constraints proactively.
• Ensure solutions are production‑ready with appropriate testing, monitoring, documentation, and support procedures.
• Lead the design and delivery of data platform solutions leveraging Microsoft Fabric and Dataverse, including lakehouse and warehouse patterns as appropriate.
• Oversee data warehouse and database engineering practices using Microsoft SQL Server (including performance, reliability, and operational support expectations).
• Guide team implementation of medallion architecture (Bronze/Silver/Gold), including standards for ingestion, transformation, validation, and curated outputs.
• Integrations, ETL/ELT, and Data Movement:
  • Lead integration and data movement initiatives across internal and external systems using APIs, connectors, and approved integration patterns.
  • Oversee ETL/ELT pipelines and scheduling, including error handling, logging, alerting, and recovery procedures to meet business SLAs.
  • Partner with vendors and internal teams to coordinate changes that impact interfaces, data schemas, and downstream reporting.
• Data Security, Governance, and Quality:
  • Ensure data solutions align with Thompson’s security requirements, data access controls, and audit expectations across platforms and environments.
  • Establish and enforce standards for data quality, reconciliation, lineage, and documentation to improve trust in reporting and analytics.
  • Coordinate with IT security and infrastructure teams to implement least‑privilege access, environment separation, and secure integration endpoints.
• BI/Analytics Enablement (Semantic Models):
  • Partner with Business Intelligence, reporting, and analytics groups to define data products, curated datasets, and semantic models that meet reporting needs.
  • Ensure semantic models and shared datasets are performant, governed, and aligned to agreed definitions, metrics, and business rules.
• Lead, coach, and develop data engineers; provide role clarity, workload balancing, and growth plans.
• Foster a culture of collaboration, accountability, delivery discipline, and continuous improvement.
• Ensure adequate skill coverage and cross‑training to reduce single points of failure and support business continuity.
• Business Partnership & Requirements Consulting:
  • Consult with business stakeholders to understand needs, identify gaps, and define outcomes that can be enabled through data solutions.
  • Translate business requirements into clear technical requirements and delivery plans; ensure alignment on acceptance criteria and change impacts.
  • Work effectively with diverse teams across the company to drive adoption, reduce friction, and ensure solutions fit real‑world processes.

• Bachelor’s degree in Information Technology, Computer Science, Engineering, Data/Analytics, or a related field (preferred); equivalent combination of education and experience will be considered.
• 5+ years of progressive experience delivering…