Data Platform Lead
Job in
Tulsa, Tulsa County, Oklahoma, 74152, USA
Listed on 2026-07-17
Listing for:
System One
Full Time
position Listed on 2026-07-17
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Data Security
Job Description & How to Apply Below
Successful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.
Responsibilities
+ Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI
+ Design and maintain scalable data architecture including lake house structures, semantic models, and datasets
+ Develop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systems
+ Build and optimize enterprise Power BI datasets and reports to support decision-making across the organization
+ Develop and maintain data models that support consistent and reliable analytics
+ Establish and maintain data governance, data quality, and documentation standards
+ Create and maintain a long-term data roadmap aligned with organizational strategy and analytics maturity goals
+ Identify opportunities to expand advanced analytics capabilities such as predictive analytics, self-service BI, and automated insights
+ Partner with business leaders and stakeholders to understand data needs and prioritize analytics initiatives
+ Ensure performance, scalability, and reliability of the data platform
+ Implement best practices for data security, access controls, and compliance
+ Support and enable self-service analytics across departments through standardized datasets and semantic models
+ Understand Data Loss Prevention (DLP) policies and tools, including implementing and managing data protection controls within Microsoft Fabric, Power BI, and the broader Microsoft ecosystem
+ Monitor and troubleshoot data pipelines, reports, and platform performance
+ Continuously evaluate new capabilities within Microsoft Fabric and Power BI to improve analytics across the organization
Requirements
+ Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience
+ 5+ years of experience in data engineering, analytics engineering, or business intelligence development
+ 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric
+ Microsoft Fabric expertise including Lakehouse architecture, Data Factory pipelines, notebooks, and semantic models
+ Advanced Power BI development including data modeling, DAX, report optimization, and enterprise dataset management
+ Strong SQL proficiency for querying, transformation, and performance optimization
+ Data modeling expertise, including star schema, dimensional modeling, and semantic layer design
+ Experience building and managing data pipelines for ingestion, transformation, and orchestration
+ Understanding of modern data architectures, including data lakes, lake houses, and warehouse concepts
+
Experience with ETL/ELT processes and data transformation frameworks
+ Ability to design scalable data platforms that support enterprise analytics and reporting
+ Design and enforce Data Loss Prevention (DLP) policies to safeguard sensitive data, ensure compliance with organizational standards, and prevent unauthorized data access or sharing across the data platform
+ Experience implementing data governance and data quality practices
+ Strong understanding of business intelligence concepts and KPI development
+ Experience integrating data from multiple sources such as ERP, CRM, SaaS platforms, and operational systems
+ Knowledge of data security and access management within Microsoft environments
+ Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
+
Experience with version control and development best practices
+ Strong communication skills for working with business stakeholders and leadership
What Sets You Apart
+ Experience building or leading a data platform practice, team, or Center of Excellence from…
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