Analytics Platform Architect

Love's Travel Stops & Country Stores•Oklahoma City, OK

About The Position

As the Analytics Platform Architect, you will define and evolve the organization's enterprise BI architecture, governance, and delivery standards across Microsoft Fabric and Power BI. Reporting to the Sr. Manager of Business Intelligence, you will own the end-to-end technical strategy for semantic modeling, data visualization at scale, performance and capacity management, DevOps/CI-CD, and secure data access.

Requirements

HS Diploma or equivalent required; Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred
Strategic thinker able to translate business outcomes into architecture and platform roadmaps; exceptional stakeholder communication
Hands-on depth with Power BI Desktop/Service, semantic modeling, DAX, Power Query, and performance diagnostics; proficiency with Tabular Editor
Strong grasp of governance and CoE operations, workspace design, endorsement workflows, and adoption enablement
DataOps/DevOps: branching, code review, CI validation, automated deployments with .pbip/TMDL; comfortable with Azure DevOps
Security by design: RLS/OLS, sensitivity labels, and tenant policies integrated into modeling and release processes
Stay current with emerging AI capabilities in Fabric/Power BI; make models AI-ready (Prep for AI) and guide responsible use with Copilot/data agents
Strategic thinking
Ability to translate business outcomes into architecture and platform roadmaps
Exceptional stakeholder communication
Ability to mentor and elevate development practices
Conduct peer reviews and establish design standards
Ability to stay current with emerging AI capabilities
Guide responsible use of AI tools
Prolonged sitting, some bending and stooping
Eye strain (screen use)
Manual dexterity sufficient to operate a computer keyboard and calculator
Occasional lifting of up to 25 pounds
Requires normal range of hearing and vision
Additional hours may be necessary

Nice To Haves

Certifications preferred: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Demonstrated adoption of Fabric Direct Lake for large-scale analytics with performance/cost trade-off guidance; capacity throttling & load strategies
Experience formalizing a Power BI CoE with training, community of practice, and governance automation
Familiarity with Best Practice Analyzer rule customization

Responsibilities

Architect the enterprise BI platform (Fabric + Power BI) including standards for data ingestion, warehousing/lakehouse, semantic models, and report delivery; ensure designs follow star-schema principles and scale for enterprise workloads
Establish and lead a Power BI/Fabric Center of Excellence (CoE): define roles, processes, and guardrails for content lifecycle, endorsement/certification, workspace strategy, and community enablement
Own governance & security patterns: RLS/OLS design guidance, sensitivity labeling, tenant/workspace policies, and change management; balance autonomy with controls to scale safely
Capacity & performance management: plan and optimize Fabric capacities, Direct Lake adoption, and OneLake usage; implement monitoring and cost/chargeback insights via Capacity Metrics and admin telemetry
DevOps for BI: implement Git-based workflows with Power BI Projects (.pbip) and TMDL, automated quality checks (Tabular Editor Best Practice Analyzer), and CI builds/deployment pipelines (e.g., Azure DevOps)
Enterprise semantic modeling: champion reusable, certified “golden” datasets; enforce DAX and modeling conventions; drive performance tuning (VertiPaq, cardinality reduction, calculation patterns)
Introduce and govern use of AI-assisted development tools such as Copilot for Power BI, automated DAX generation, and intelligent model documentation
Observability & telemetry: implement service-level monitoring, usage analytics, and audit automation using Admin APIs/PowerShell; publish adoption and SLA dashboards for leaders
Data agent & AI-readiness: prepare semantic models for Copilot and Fabric data agent (Prep for AI schemas, metadata, synonyms) to improve natural-language querying and agentic analytics
Cross-platform connectivity: oversee connectivity patterns (e.g., SAP HANA, Snowflake, SQL), gateway configuration, and hybrid modes (Direct Lake/DirectQuery/Composite) with documented trade-offs
Mentorship & standards: coach BI Developers I–III on modeling, DAX, performance, and SDLC; conduct peer reviews, publish playbooks, and facilitate internal training