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Principal Data Platform Engineer Jobs in Tennessee

Kubernetes Platform Engineer Founded in 1999 in the beautiful Smoky Mountains of East Tennessee ... data sharing, and large-scale computational science across the U.S. Department of Energy (DOE)

AI Platform Engineer II Location: Memphis, TN (Remote candidates may be considered if a qualified ... Develop APIs, automation, and data integration services to support scalable AI platforms

New

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

OCI is transforming the developer platform experience. We are building an all-new application ... Deep experience designing APIs, data models, and service architectures with attention to ...

Data Engineer

Madison, TN · On-site

$106K - $127K/yr

You will build and maintain the platform's Bronze/Silver/Gold data layers, ensures a single source of truth for critical data, and provides indirect leadership and mentorship to the SQL Developers on ...

New

Showing results 41-60

Principal Data Platform Engineer information

What is the difference between Principal Data Platform Engineer vs Data Engineer?

AspectPrincipal Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often with certifications in cloud platformsBachelor's in CS, Data Science, or related; certifications are common but not mandatory
Work EnvironmentDesigns and oversees data platform architecture, leads technical strategyBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed in large tech, finance, and enterprise companies focusing on scalable data solutionsCommon across industries for data processing and analytics tasks

The Principal Data Platform Engineer focuses on designing and leading the development of data platforms, ensuring scalability and performance. In contrast, Data Engineers primarily build and maintain data pipelines and infrastructure. Both roles require strong technical skills, but the Principal role involves strategic oversight and architecture leadership.

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For Principal Data Platform Engineer jobs in Tennessee, the most frequently searched job titles are:

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The top searched job categories for Principal Data Platform Engineer jobs in Tennessee are:

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Cities in Tennessee with the most Principal Data Platform Engineer job openings:

Analytics Platform Engineer

Green Mountain Technology

Memphis, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Build the analytics platform that powers smarter business decisions for our customers.


At Green Mountain Technology, we help large, complex shippers reduce costs, improve customer delivery experience, and create sustainable competitive advantages through technology, analytics, and logistics expertise. We are seeking an Analytics Platform Engineer, Power BI / Fabric to design, build, and support modern analytics solutions that enable customer-facing and internal reporting. This role will partner closely with Product, Operations, Customer Success, Data Engineering, Architecture, and AI Engineering teams to deliver trusted, governed, and user-friendly analytics capabilities.


What You'll Do

  • Design, build, and maintain Power BI dashboards, reports, semantic models, KPIs, and analytics assets for internal and customer-facing use cases.
  • Engineer scalable Microsoft Fabric and Power BI solutions that support Intelligent Visibility, Accelerated Path, customer analytics, and reporting modernization initiatives.
  • Develop reusable semantic models, data marts, report templates, and dashboard design patterns that create consistency across analytics products.
  • Partner with Product, Operations, Customer Success, Data Engineering, Architecture, and AI Engineering teams to deliver trusted analytics capabilities.
  • Support migration and modernization of legacy analytics and reporting assets into Power BI and Microsoft Fabric.
  • Translate customer and business reporting needs into scalable Power BI and Fabric solutions.
  • Establish and maintain governance practices for workspace design, report definitions, KPI logic, semantic models, security, and operational support.
  • Implement access controls, Row-Level Security, workspace governance, and deployment checks to reduce operational and customer risk.
  • Validate reports, data models, calculations, filters, security roles, and refresh processes before release.
  • Improve analytics delivery through reusable templates, automation, deployment pipelines, performance tuning, and Microsoft Fabric capabilities.
  • Support AI-enabled analytics experiences, including Copilot in Power BI, Data Agents, conversational analytics, and natural language-driven insights.
  • Provide technical mentoring and peer guidance to engineers, analysts, and business users working with Power BI and Fabric.


What You'll Bring

  • 3+ years of Power BI development, BI development, analytics engineering, data modeling, or reporting platform experience.
  • Strong experience with Power BI Service, DAX, Power Query, SQL, semantic models, workspaces, apps, gateways, refreshes, deployment practices, and access management.
  • Experience designing and implementing enterprise-grade semantic models.
  • Advanced DAX, Power Query, SQL, dimensional modeling, data visualization, performance tuning, and dashboard development skills.
  • Proven history delivering production Power BI reports, dashboards, semantic models, and governed analytics assets.
  • Experience implementing Row-Level Security, workspace security, and customer-facing report distribution patterns.
  • Ability to create intuitive customer-facing reporting experiences and reusable semantic models.
  • Strong communication skills and the ability to work effectively with product owners, business stakeholders, engineers, data architects, and customer-facing teams.
  • Ability to troubleshoot data discrepancies, report performance issues, refresh failures, access issues, and semantic model defects.
  • Working knowledge of Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Pipelines, Dataflows, and related Microsoft analytics services is preferred.
  • Experience with Power BI deployment pipelines, Azure DevOps, Git, Jira, Confluence, or similar delivery tools is preferred.
  • Experience modernizing legacy reporting assets or participating in Tableau-to-Power BI migration efforts is preferred.
  • Experience with Power BI Copilot, AI-enabled reporting, or conversational analytics is a plus.
  • Knowledge of logistics, parcel technology, customer analytics, or operational reporting is preferred.


Why Green Mountain Technology

Green Mountain Technology is a technology-enabled parcel logistics management and advisory firm. Large, complex shippers turn to Green Mountain Technology to continuously improve customer delivery experiences and the cost to make them possible.


Innovation isn't an initiative, it's our culture. We were founded on a belief in using technology paired with talented and knowledgeable professionals in shipping, logistics, data analytics, and technology to create meaningful financial outcomes for our customers. We believe in continuously innovating differentiated value and empowering our people to lead with curiosity, creativity, and ownership.


At Green Mountain Technology, team members are eligible for medical, dental, and vision benefits. The HSA HDHP medical plan includes a generous company contribution, with optional FSA for the PPO medical plan. We offer 100% company-paid basic life insurance, short-term disability, and long-term disability, with voluntary supplemental plans that includes DCRA available on Day 1. We offer fully remote options in most U.S. states, paid holidays, PTO, and Summer Hours with no waiting period. The 401(k) plan includes an automatic company contribution.


Green Mountain Technology is an equal opportunity employer that embraces inclusion and does not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.


We Participate in E-Verify.


* Applications submitted through third-party automated services will not be considered, only applications completed by intentional human candidates.