Sr. Data Architect

Precor, Incorporated • Seattle, WA

1d • $150,000 - $170,000 • Onsite

About The Position

The Senior Data Architect plays a foundational role in building the data infrastructure that will power Precor’s transition from spreadsheet-driven reporting to a governed, scalable analytics platform. This role is responsible for designing and governing the end-to-end data architecture across Microsoft Fabric, SAP ECC 6.0, and Google BigQuery—ensuring data flows reliably from source systems to decision-makers across finance, operations, supply chain, and sales. Working closely with the Director of Data & Insights and cross-functional business leaders, the Senior Data Architect sets technical standards, mentors the data team, and ensures the platform is structured to support machine learning, generative AI, and self-service analytics both today and as the business grows.

Requirements

• 5+ years in data engineering or architecture, with 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, with real understanding of SAP’s underlying table structures and extraction challenges.
• Strong command of dimensional and semantic modeling (Kimball, star schemas, governed metric layers).
• Demonstrated ability to design architectures that explicitly enable AI and machine learning workloads.
• Track record of connecting technical decisions to measurable business outcomes and communicating them to executive stakeholders.

Nice To Haves

• Experience integrating heterogeneous cloud environments (Azure and GCP).
• Familiarity with AI and LLM-driven analytics (Copilot, retrieval-augmented generation over enterprise data, natural-language BI).
• Background in manufacturing, supply chain, or consumer products data domains.
• Production experience with Google BigQuery, including partitioning, performance tuning, and cost management.

Responsibilities

• Design and govern scalable, fault-tolerant data pipelines spanning Microsoft Fabric, SAP ECC 6.0, and Google BigQuery, ensuring reliable data flow from source systems through transformation to BI consumption.
• Architect end-to-end extraction from complex SAP ECC modules (FI/CO, MM, SD, PP), including medallion (bronze/silver/gold) layering within Fabric’s Lakehouse and OneLake environment.
• Establish patterns for batch and near-real-time ingestion, including change-data-capture (CDC) strategies that move SAP transactional data without overloading source systems.
• Design integration strategies that bridge Microsoft Azure and Google Cloud, enabling the two platforms to function as one coherent ecosystem.
• Evaluate and select ingestion, orchestration, and storage patterns that balance performance, cost, and long-term maintainability.
• Design enterprise semantic models structured for natural-language querying, Copilot integration, and downstream machine learning pipelines.
• Build and govern the business-logic layer that ensures AI-generated insights are grounded in validated, well-defined metrics.
• Standardize KPI and business definitions across the organization so that revenue, margin, and active units mean the same thing in every report and every AI-driven answer.
• Partner with data science to ensure feature stores and training datasets draw from architecturally sound, lineage-tracked sources.
• Anticipate emerging AI use cases—forecasting, anomaly detection, natural-language analytics—and ensure the architecture can support them without costly redesign.
• Establish data governance, lineage, security, and quality frameworks so that data can be trusted, audited, and traced to its source.
• Define role-based access and data-protection standards that keep sensitive financial, customer, and operational data secure across cloud platforms.
• Implement data quality monitoring and validation to catch and resolve issues before they surface in reports.
• Establish cost-optimization and performance standards across Fabric capacity units, treating cloud spend as a managed business resource.
• Serve as the technical authority who translates business strategy into a clear data architecture roadmap and communicates trade-offs in language executives can act on.
• Partner directly with leaders in finance, operations, supply chain, and sales to ensure the data platform is built around real business questions.
• Mentor and elevate data engineers, BI developers, and analysts, raising architectural maturity and delivery speed across the team.
• Set technical standards, review designs, and serve as the final escalation point for complex architectural decisions.
• Build and defend business cases for new investments in data tooling and capacity with clear, outcome-focused reasoning.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed