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Data Platform Manager Jobs (NOW HIRING)

MIRATECH Corporation

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI * Design and ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI * Design and ...

Tactile Medical

Data Platform Engineer

Minneapolis, MN

$119K - $143K/yr

The Data Platform Engineer will play a critical role in maturing and operationalizing this platform ... Management * Implement and maintain role-based access controls across workspaces and datasets

MIRATECH Corporation

Data Platform Lead

Tulsa, OK

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI * Design and ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This ... Contribute to data operations efforts, including change management, infrastructure as code, audit ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This ... Contribute to data operations efforts, including change management, infrastructure as code, audit ...

BetWarrior

Data Platform Engineer

Glendora, NJ · On-site

$110K - $132K/yr

Design and own scalable data platforms for real-time and batch processing across Azure, AWS, and ... Strong cross-functional stakeholder management and organizational communication skills. * Proven ...

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed ...

Tactile Medical

Data Platform Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

The Data Platform Engineer will play a critical role in maturing and operationalizing this platform ... Management * Implement and maintain role-based access controls across workspaces and datasets

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Data Platform Manager information

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$31K

$97.1K

$172K

How much do data platform manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data platform manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

What are some common challenges faced by Data Platform Managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What are the key skills and qualifications needed to thrive as a Data Platform Manager, and why are they important?

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a Data Platform Manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
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Data Platform Manager jobs near you
Data Platform Lead

Data Platform Lead

MIRATECH Corporation

Tulsa, OK • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Reports to: VP of Digital Technology
Cooperates with: Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development
Location: Tulsa, OK
Primary Responsibility: Responsible for owning and advancing the organization's data ecosystem by designing, building, and maintaining scalable data solutions within Microsoft Fabric and Power BI. This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners with business stakeholders to define a data roadmap, improve data governance and quality, and identify opportunities to expand data-driven decision-making and analytics capabilities
What You'll Do:
  • 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
  • Understanding of 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

How to Qualify:
  • 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 the ground up or through a significant growth phase.
  • Track record of end-to-end platform ownership: from architecture design through scaled adoption, including driving self-service BI adoption across non-technical business users.
  • Knowledge of environmental manufacturing processes and sustainability practices.
  • Experience working in a fast-paced, Agile environment.
  • Ability to manage multiple priorities and stakeholders effectively.
  • Experience coordinating with IT infrastructure, cybersecurity, and enterprise governance processes

What We Offer:
  • Health, Dental & Vision Insurance
  • Annual Bonus Program
  • $350 Annual Wellness Credit
  • Flexible Spending Account (FSA)
  • 401k with match up to 5%
  • Life insurance
  • Disability insurance
  • 5 days of paid sick leave annually (prorated based on start date)
  • 15 days PTO annually (prorated based on start date)

Equal Opportunity: MIRATECH is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations.

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