Senior Manager, Data Engineering - OneMagnify

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

Role Summary

OneMagnify is looking for a Senior Manager to lead the architecture, delivery, and day-to-day execution of our enterprise data platforms — with Databricks Lakehouse at the center. This is a hands-on leadership role that sits at the intersection of data engineering, AI enablement, and client delivery, ensuring we build and scale data capabilities that hold up in production. You'll lead a team of data engineers and architects, drive technical quality across engagements, and serve as a senior point of contact for clients navigating complex data platform work.

The Impact You'll Have

The data platform work you lead is what makes AI and analytics real at OneMagnify — not in theory, but in production. When the platform is well-built, trusted, and performant, our teams move faster, our models are more reliable, and the solutions we deliver for clients actually stick. You're the person responsible for making sure that happens consistently across engagements.

You'll work on projects with large enterprise clients — often in B2B, automotive, or industrial sectors — helping them modernize data environments that support AI, ML, and GenAI use cases at scale. That might mean architecting a Lakehouse solution for a client managing millions of customer records, building streaming pipelines for real-time decisioning, or ensuring a GenAI application has the clean, governed data it needs to work in production.

Internally, you'll help establish the delivery standards, reusable patterns, and technical accelerators that improve quality and consistency across OneMagnify 's data practice — and you'll grow the engineers and architects around you in the process.

What You'll Do

Lead Data Platform Architecture and Delivery

• Own the technical direction and delivery of cloud-native data platforms built on Databricks and AWS
• Lead the design and implementation of Lakehouse architecture — Delta Lake, Unity Catalog, Spark-based processing — across client engagements
• Ensure scalability, performance, security, and cost optimization are built into solutions from the start, not addressed after delivery

Build and Optimize Data Pipelines

• Oversee ingestion, transformation, and orchestration pipelines across both batch and streaming workloads
• Apply AWS-native services (Glue, Ste