Hermanson Company Logo

Hermanson Company

Sr. Fabric Technical Data Architect

Posted 2 Days Ago
Remote
Hiring Remotely in USA
165K-195K Annually
Senior level
Remote
Hiring Remotely in USA
165K-195K Annually
Senior level
Designs, builds, and operates the company’s Microsoft Fabric data platform and lakehouse architecture. Responsibilities include platform architecture, data ingestion and transformation pipelines, governance, security, metadata, lineage, CI/CD, deployment management, and performance optimization. The role enables reliable datasets for Power BI, reporting, analytics, and future AI initiatives while expanding enterprise data capabilities and transitioning platform ownership in-house.
The summary above was generated by AI

Hermanson Company is a standout Mechanical company that has been doing business in the Puget Sound area since 1979. Over the last four decades we have grown from a family owned sheet metal contractor to a partner led full service mechanical construction, design and maintenance provider playing a significant role in the U.S. national construction industry. 

By design, Hermanson is a special place to work. Our belief is that people do business with people they like. In keeping with that belief, we strive to hire and retain highly motivated people who are professional, ethically unwavering, and unrelenting in delivering quality results. We are focused on providing a workplace where high performance individuals come together to build dedicated teams driven to accomplish great things for our customers.

People love working at Hermanson, because we all share the same Core Values:

  • Clients First – Caring, win-win, value, quality and service attitude 
  • Family Matters - Safety, wellness, stability, enjoyment and balance
  • Character Matters – Integrity, accountability, passionate, and caring
  • Team - Trust, honesty, respect, reliable and inclusive
  • Appreciate – Each other, our successes, and enjoy the journey
  • Learn, Grow, Innovate – Challenge the status quo and always compete

The Role

The Sr. Fabric Technical Data Architect reports to the CIO, in the IT Department.  This role is responsible for designing, building, and operationalizing the company’s Microsoft Fabric-based data platform and lakehouse architecture.

This role owns the technical execution layer of the enterprise data program, translating business data models into scalable, governed, and high-performing solutions. It works in close partnership with the Sr. Data & Solutions Architect, who owns the business information model, data strategy, and the definitions of what the data means. This role owns how that model is built and run: the platform architecture, pipelines, governance, and operations that bring it to life. Together, this partnership is critical to evolving from an MVP data platform to a sustainable, in-house enterprise data capability supporting reporting, analytics, and future AI initiatives.

Responsibilities

Fabric Platform Architecture

  • Design and manage end-to-end Microsoft Fabric architecture, including: Lakehouse structure (Bronze / Silver / Gold); Workspace and environment strategy (Dev / UAT / Prod); and Data integration and orchestration patterns
  • Define and enforce technical standards for scalability, performance, and cost efficiency
  • Establish architectural roadmaps aligned to analytics and business objectives

Data Engineering & Integration

  • Build and maintain data ingestion pipelines across systems (D365 F&O, CRM, Fabrication, Service, etc.)
  • Implement transformation logic to produce curated, reporting and analytics-ready datasets
  • Establish consistent patterns for moving data from source → lakehouse → semantic layer in batch, streaming, and real-time patterns
  • Ensure alignment between technical models and the defined business information model
  • Enable reliable, performant datasets for Power BI and downstream analytics

Governance, Security & Operations

  • Establish and enforce data governance frameworks, including: data quality standards; metadata and cataloging; and lineage and observability
  • Define and manage security and access controls across data platform components
  • Support evolution toward a formal data governance and ownership model

DevOps & Delivery

  • Own deployment pipelines, CI/CD processes, and release management for Fabric
  • Enable structured incremental delivery supporting testing, UAT, and production stabilization

Platform Expansion & Future Readiness

  • Expand the platform beyond core ERP data into additional enterprise systems
  • Ensure data architecture is AI-ready (clean, governed, accessible)
  • Continuously optimize for performance, cost, and usability
  • Evaluate and recommend new technologies and tools aligned with strategic direction

The salary range for this position is $165,000 to $195,000. (The compensation offered may vary depending on job-related knowledge, skills and experience).

Qualifications

Preferred Qualifications

  • Background in industries with complex operational data (construction, fabrication, or project-based environments)
  • Experience with:
    • Supporting analytics, reporting, and AI use cases
    • Semantic modeling and analytics platforms (e.g., Power BI)
    • Data cataloging, lineage, and metadata management tools
  • Exposure to AI/ML data platform design or analytics enablement
  • Experience leading or mentoring technical teams
  • Ability to operate effectively in MVP → scale/maturity transitions

What Success Looks Like (First 6-12 Months)

  • Stabilizes and operationalizes the existing Fabric Data Lakehouse (V1)
  • Establishes clear architecture standards, patterns, and repeatable processes
  • Successfully delivers incremental V2 capabilities aligned to business priorities
  • Transitions key platform capabilities from external partners to a sustainable in-house model
  • Provides consistent, reliable datasets enabling: trusted reporting, faster data access for business users, and readiness for future AI initiatives

Education

Bachelor's degree (B. S.) in Software Engineering, Computer Science, Information Systems, Data Science, Mathematics, from a four-year college or university or equivalent combination of technical training and/or related field experience.

Hermanson offers a comprehensive benefits package designed to support your health, financial future, and professional growth.

  • Competitive pay with bonus opportunities
  • Medical, prescription, dental & vision coverage with zero to low weekly premiums
  • 401(k) with discretionary company match
  • Generous paid time off (vacation, sick time, and paid holidays)
  • Disability income protection
  • Life insurance for employees and eligible dependents
  • Optional added protection with critical illness and accident plans
  • Career growth & development opportunities
  • In-house training programs
  • Certificate & tuition reimbursement
  • Wellness program
  • Employee Assistance Program (EAP)

This position is not eligible for employment visa sponsorship.

Hermanson company LLC is proud to be an Equal Opportunity Employer. Hermanson does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need. 

The pay range for this position may vary depending on job-related knowledge, skills and experience.

WA Residents
$165,000—$195,000 USD

Similar Jobs

An Hour Ago
In-Office or Remote
174K-274K Annually
Expert/Leader
174K-274K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.
Top Skills: APIsAutomated TestingCi/CdClient SdksClient-Side State ManagementCore Web VitalsCSSData ModelingDistributed SystemsDistributed TracingHTML5Javascript Es6+MicroservicesObservabilityReactTelemetryTypescript
An Hour Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides organization-wide technical leadership for Atlassian’s Dev AI platforms and autonomous developer initiatives. Defines multi-year architectures for agent runtimes, orchestration engines, execution sandboxes, memory systems, and context retrieval. Drives distributed-system architecture, reliability, security, responsible AI governance, evaluation, and operational standards. Leads cross-organizational technical initiatives, resolves architectural ambiguity, mentors senior engineers, partners with product and engineering leaders, and remains hands-on with strategic prototypes and architectural validation.
Top Skills: Agent OrchestrationAi Evaluation FrameworksArtificial IntelligenceAtlassian Teamwork GraphAutonomous Ai AgentsBitbucketCode IntelligenceCode SynthesisDistributed SystemsJIRAResponsible AiRetrieval SystemsRuntime SandboxesSemantic SearchTelemetry
An Hour Ago
In-Office or Remote
149K-235K Annually
Senior level
149K-235K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead enterprise customer engagements to adopt and operationalize Atlassian’s Rovo AI platform. Facilitate discovery, design and configure AI agents and connectors, guide deployments from sandbox to production, and drive measurable adoption outcomes. Own engagement playbooks, enable internal teams, provide product feedback, and collaborate with sales, customer success, product, and engineering teams. The role involves supporting complex enterprise use cases, mentoring without direct authority, and up to 15% domestic and international travel.
Top Skills: Agentic WorkflowsAi AgentsAtlassianConfluenceGitGoogle DriveJIRALlm-Powered ArchitecturesPrompt EngineeringRovoRovo StudioSharepointSlack

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account