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Data Platform Jobs (NOW HIRING)

Data Platform Lead

Tulsa, OK ยท On-site

$100.60K - $120.80K/yr

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 ...

Data Platform Lead

Tulsa, OK ยท On-site

$100.60K - $120.80K/yr

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 ...

Data Platform Engineer

Milwaukee, WI ยท On-site

$112.80K - $135.50K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

Data Platform Lead

Tulsa, OK

$100.60K - $120.80K/yr

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 ...

Data Platform Analyst Client: Federal Reserve Board Location: Washington, DC (Onsite) Work Type: W2 Contract About the Role The Enterprise Data Platform (EDP) team is seeking a Data Platform Analyst ...

Data Platform Engineer

San Jose, CA ยท On-site

$134.20K - $161.10K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

The Data Platform Administrator keeps Marvin's cloud data platform running smoothly, securely, and efficiently. This role focuses on the daytoday health of our data tools-primarily Snowflake, dbt ...

Data Platform Architect

Florissant, MO ยท On-site

$58.75 - $75.75/hr

Data Platform Architect (onsite, Florissant, MO) Schedule: Full Time Reporting to: Architecture Lead Position Summary The Augustine Institute seeks a Data Platform Architect to lead the design and ...

Data Platform Engineer

San Francisco, CA ยท On-site +1

$134.90K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma's next generation of AI-driven products and data experiences.

Data Platform Engineer

Fort Washington, PA ยท On-site

$110.30K - $132.40K/yr

The Data Platform Engineer is responsible for the design, administration, optimization, and operational support of enterprise data platforms across hybrid environments, including Microsoft Azure and ...

This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again ...

The Data Platform Administrator keeps Marvin's cloud data platform running smoothly, securely, and efficiently. This role focuses on the daytoday health of our data tools-primarily Snowflake, dbt ...

The Data Platform Engineer will operate our database ecosystem as critical infrastructure - proactively improving performance, automating administrative processes, strengthening observability, and ...

The Data Platform Engineer will operate our database ecosystem as critical infrastructure -- proactively improving performance, automating administrative processes, strengthening observability, and ...

Data Platform Engineer

$117.20K - $140.70K/yr

Our platform ingests sensitive patient data from hospitals, applies patients for funding, and manages the flow of reimbursements. We're building a scalable, secure, and high-impact healthcare ...

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$25K

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How much do data platform jobs pay per year?

As of May 30, 2026, the average yearly pay for data platform in the United States is $133,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $165,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Platform Engineer, you need strong expertise in database management, data modeling, and proficiency in programming languages such as SQL, Python, or Java, usually supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (e.g., Hadoop, Spark), and certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These abilities ensure efficient, scalable, and reliable data infrastructure that supports business intelligence and analytics needs.

What are some common challenges Data Platform professionals face when supporting large-scale data infrastructure?

Data Platform professionals often encounter challenges such as ensuring data reliability, scaling systems to handle increasing volumes, and maintaining security across diverse data sources. Balancing real-time processing with cost-effective storage and managing integration among various tools can add complexity. Collaboration with engineering, analytics, and product teams is key to quickly resolving issues and implementing new features while minimizing downtime.

What is a Data Platform?

A Data Platform is a collection of technologies and tools that enable organizations to collect, store, process, manage, and analyze large volumes of data from various sources. It typically includes databases, data warehouses, data lakes, and tools for data integration, analytics, and visualization. Data platforms help businesses make data-driven decisions by providing a unified and scalable environment for handling all their data needs.
More about Data Platform jobs
What cities are hiring for Data Platform jobs? Cities with the most Data Platform job openings:
What are the most commonly searched types of Data Platform jobs? The most popular types of Data Platform jobs are:
What states have the most Data Platform jobs? States with the most job openings for Data Platform jobs include:
Infographic showing various Data Platform job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $133,091 per year, or $64 per hour.
Data Platform Lead

Data Platform Lead

MIRATECH Corporation

Tulsa, OK โ€ข On-site

$100.60K - $120.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


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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