Data Engineer

We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.Responsibilities:• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.