Data Platform Engineer-Solutions Delivery

Job summary

YOUR OPPORTUNITY We have an exciting opportunity for a Data Platform Engineer at our Merriam, KS office. The Data Platform Engineer is the core builder on the Data Platform team within Solutions Delivery, focused on designing, building, and operationalizing data solutions, primarily on Microsoft Fabric.

Benefits

Qualifications

• and iterate rapidly in tight feedback loops.
• Implement monitoring, alerting, and operational runbooks for platform components; partner with Application Support to confirm data assets and integrations are operationally ready before go-live.
• Stay current on Microsoft Fabric capabilities — new workloads, performance features, governance tooling — and pull proven patterns into the team's work as they mature.
• Orchestrating delivery (10% of time)
• Participate in team standups, planning sessions, and delivery ceremonies; surface data dependencies, blockers, and capacity constraints proactively so they can be resolved before they slow delivery.
• Coordinate with FDEs, Architecture, and external partners to align on data contracts, API specifications, and integration patterns before build begins, reducing rework and integration friction.
• Clarify data
• and priority when the scope is ambiguous: pull the right stakeholders into the conversation, confirm direction, and keep build work moving.
• Standards and patterns (10% of time)
• Conduct data and API design reviews to raise quality, catch performance or consistency issues early, and reduce long-term maintenance burden.
• Maintain documentation for data assets, schemas, and integration contracts so other engineers and business users can consume them without friction; retire patterns that no longer hold.
• CORE COMPETENCIES FOR SUCCESS IN ALL ROLES

Responsibilities

• This list is not intended to be all-inclusive, and other
• may be assigned.
• The work breaks down into three buckets:
• Hands-on build (up to 80% of time)
• Design, build, test, and deliver data pipelines, data transformations, lakehouses, data warehouses, and semantic models in Microsoft Fabric using Dataflows Gen2, Notebooks (PySpark, SQL), and Fabric Pipelines.
• Ingest, transform, and serve data across the business — building the OneLake structures and medallion architecture patterns that make data reliably available for reporting, AI features, and downstream applications.
• Build, consume, and maintain APIs as appropriate — designing clear contracts, implementing endpoints, and integrating with internal systems and external vendors to ensure data flows where it is needed.
• Develop and maintain semantic models, ensuring data accuracy, performance, and reusability for reporting and AI-driven use cases across the business.
• Partner with Forward Deployed Engineers (FDEs) and business stakeholders to understand data

Skills

Degrees

Industry

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Contract length