Senior Data Architect

🔥 0 minutes ago

☕ Washington – Remote

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💵 $150k - $170k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Logo of Precor

Precor

501 - 1000 employees

🧘 Wellness

🏭 Manufacturing

🤝 B2B

Wellness • Manufacturing • B2B

Precor is a manufacturer of premium exercise equipment and connected fitness solutions for commercial and home markets. Headquartered in the Greater Seattle area, Precor has delivered cardio, strength, functional fitness, group training, and connected products to clubs, hospitality, residential, corporate, and education customers worldwide for over 40 years. The company combines U. S. -based manufacturing with global offices and recorded over one billion workouts on its connected platform, emphasizing precision, reliability, and performance for fitness facilities and consumers.

📋 Description

• Design and govern scalable, fault-tolerant data pipelines across Microsoft Fabric, SAP ECC 6.0, and Google BigQuery • Architect extraction from SAP ECC modules FI/CO, MM, SD, and PP, including medallion layering in Fabric Lakehouse and OneLake • Establish batch and near-real-time ingestion patterns, including change-data-capture strategies • Design integration strategies bridging Microsoft Azure and Google Cloud • Evaluate ingestion, orchestration, and storage patterns for performance, cost, and maintainability • Design enterprise semantic models for natural-language querying, Copilot integration, and machine learning pipelines • Build and govern validated business logic, KPI definitions, feature stores, and training datasets • Establish data governance, lineage, security, quality, access-control, and cost-optimization frameworks • Translate business strategy into a data architecture roadmap and communicate trade-offs to executives • Partner with finance, operations, supply chain, and sales leaders • Mentor data engineers, BI developers, and analysts • Set technical standards, review designs, handle complex architectural escalations, and build business cases for data investments

🎯 Requirements

• 5+ years in data engineering or architecture • 1+ years in a senior or lead architect capacity • Deep, hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI semantic models and dataflows) or equivalent • Proven experience extracting and modeling data from SAP ECC 6.0, including understanding SAP table structures and extraction challenges • Strong command of dimensional and semantic modeling, including Kimball, star schemas, and governed metric layers • Demonstrated ability to design architectures that enable AI and machine learning workloads • Track record of connecting technical decisions to measurable business outcomes and communicating them to executive stakeholders • Experience integrating heterogeneous cloud environments (Azure and GCP) preferred • Familiarity with AI and LLM-driven analytics preferred • Background in manufacturing, supply chain, or consumer products data domains preferred • Production experience with Google BigQuery, including partitioning, performance tuning, and cost management preferred • Must be authorized to work in the United States; posting asks whether sponsorship will be required

🏖️ Benefits

• Medical, dental and vision insurance • Generous paid time off policy • Short-term and long-term disability • Access to Employee Assistance Program, including access to mental health services • 401(k) including employer match • Pet insurance • Region-specific health and welfare benefits

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