Analytics Platform Architect at Love's Travel Stops & Country Stores

Oklahoma City, Oklahoma, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Power BI, Semantic Modeling, Data Visualization, Performance Management, DevOps, CI/CD, Governance, Security Patterns, Capacity Management, Direct Lake, Tabular Editor, DAX, Power Query, Azure DevOps, Copilot

Industry

Retail

Description

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) – 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development * Welcome to Love's: 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. Job Functions: 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 Experience and Qualifications: HS Diploma or equivalent required; Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred 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 Skills and Physical Demands: Hard Skills: 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 Soft Skills: 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 Skills and Physical Demands: 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 Our Culture: Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture. Love’s is an Equal Opportunity Employer. Veterans encouraged to apply. Job Category: Information Technology

Responsibilities

The Architect will define and evolve the enterprise BI architecture, governance, and delivery standards across Microsoft Fabric and Power BI, owning the end-to-end technical strategy for modeling, visualization, performance, DevOps, and security. Key functions include architecting the BI platform, establishing a Center of Excellence, owning governance and security patterns, managing capacity and performance, and implementing DevOps for BI workflows.