Data Engineer, Central One Federal Credit Union, Auburn, MA

At Central One, our values are to Deliver Exceptional Service, Work as a Team, Have Fun, and the Credit Union philosophy of People Helping People; all while striving to be C.E.N.T.R.A.L. One Ambassadors. CENTRAL stands for Caring, Enthusiastic, Nimble, Team-Oriented, Resilient, Altruistic and Loyal. At the core of our values lies a commitment to our community, members, and employees, with a focus on overall well-being.

The Data Engineer owns the design, build, and ongoing development of COFCU's enterprise data infrastructure - a modern, scalable platform built on Azure and Microsoft Fabric. This role is the technical engine behind COFCU's data strategy, responsible for delivering the pipelines, lake houses, semantic models, and integrations that power trusted reporting, analytics, and AI capabilities across the organization.

The Data Engineer does not work in isolation. This role operates as a collaborative lead within the Data Infrastructure team, working closely with business department leaders, data domain owners, the Data & AI Governance Lead, and COFCU's Managed Service Provider (MSP) to continuously build, refine, and scale the infrastructure. The Data Engineer is also an active participant in the Data & AI Governance framework - applying governance standards, enabling technical implementation of policies, and serving as a technical representative on the Data & AI Governance Committee.

This position is foundational to COFCU's shift from manual reporting to a governed, enterprise-wide data ecosystem - and plays a central role in enabling leadership and staff to access timely, trusted insights that support strategic decision-making.

• Own the enterprise data platform end-to-end and drive its ongoing evolution in partnership with the MSP, domain owners, and IT leadership.
• Serve as the primary technical owner of COFCU's data infrastructure, including the data lakehouse/warehouse, ingestion pipelines, transformation layers, and semantic models built on Azure and Microsoft Fabric.
• Lead and manage the day-to-day execution of the Data Infrastructure team work streams, coordinating with the MSP to ensure deliverables align with project scope, timelines, and COFCU standards.
• Partner with business departments and data domain owners (Member, Financial, Lending, Operational, Employee, and Vendor Data) to understand data needs and translate them into infrastructure design and build requirements.
• Build and maintain scalable data ingestion, transformation, and storage pipelines for structured and unstructured data from diverse sources including core banking systems, SaaS platforms, APIs, and flat files.
• Automate data processing workflows to reduce manual effort, improve reliability, and increase timeliness of data availability.
• Manage Microsoft Purview configuration, data classification, and cataloging as part of the technical governance infrastructure.

• Ensure analysts and business users have access to clean, well-structured, analytics-ready data.
• Design and maintain semantic models and Power BI datasets optimized for performance, consistency, and self-service consumption.
• Collaborate with analysts and business teams to migrate manual reports and spreadsheets to governed Power BI dashboards.
• Establish and maintain dataset documentation, naming standards, and data dictionaries in coordination with the Governance Lead.
• Enable self-service analytics by building reusable, well-documented data products aligned to enterprise data domain definitions.

• Actively participate in COFCU's Data & AI Governance framework as the technical implementation partner for governance policies and standards.
• Serve as a standing technical member of the Data & AI Governance Committee, representing the infrastructure perspective in governance decisions.
• Partner with the Data & AI Governance Lead to implement governance policies in the platform: data quality checks, access controls, lineage tracking, classification, and auditability.
• Apply Azure RBAC, row-level security, and Microsoft Purview sensitivity labels to enforce data access and security governance policies.
• Implement and maintain data quality monitoring, alerting, and issue tracking to support Governance Committee reporting on data reliability.
• Contribute to the Enterprise Data Catalog and ensure infrastructure assets are cataloged, documented, and discoverable per governance standards.
• Support the technical implementation of AI governance controls, including data lineage and model input/output auditing, where applicable.

• Maintain a secure, high-performing, and cost-efficient data environment.
• Manage data platform security using Azure identity management, RBAC, and encryption best practices.
• Monitor platform performance, pipeline health, and storage costs; proactively identify and resolve issues.
• Implement CI/CD or Dev Ops practices for data…