Sr. Data Architect

About the Role

The Senior Data Architect plays a foundational role in building the data infrastructure that will power Precors 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 BigQueryensuring 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.

Responsibilities

Architecture and Pipeline Design

• 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 Fabrics 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.

Semantic Modeling and AI Enablement

• 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 casesforecasting anomaly detection natural-language analyticsand ensure the architecture can support them without costly redesign.

Governance Quality and Security

• 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.

Strategy Leadership and Stakeholder Partnership

• 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.

Qualifications

• 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 SAPs 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.

Preferred Qualifications

• 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.

Pay Range: $150000 to $170000

The pay range represents the low and high end of the anticipated pay range for this position based at our Woodinville WA headquarters. The actual pay offered for this position will depend on numerous factors including individual performance business objectives and if the location for the job changes. Our pay is just one component of Precors total rewards strategy that also includes region-specific health and welfare benefits.

As an organization one of our top priorities is to maintain the health and well-being of our employees and their families. To achieve this goal we offer robust and comprehensive benefits including:

• 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 and so much more!

About Precor

Precor is known for developing and manufacturing the most innovative and reliable commercial fitness equipment on the market. With over 40 years of empowering exercisers trainers business owners and operators alike we take pride in offering world-class fitness solutions across over 13000 facilities and 100 countries. We sweat every detail to bring best-in-class product solutions into commercial facilities meeting exercisers wherever they are: at work at school in the gym or on the road.

Precor is an equal opportunity employer and committed to creating an inclusive environment for all our applicants. We do not discriminate based upon race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics. If you would like to request an accommodation regarding the application/interview process or are having difficulty using our website for application purposes please contact: