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Data Governance Platform Jobs in Kansas (NOW HIRING)

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

Partner with data architects and technical leadership to define standards, patterns, and best practices for data modeling, governance, and platform design. * Develop and maintain conceptual, logical ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Document data flows and contribute to data quality and governance practices. Develop foundational ... Basic understanding of cloud platforms (Azure, AWS) and on-premises infrastructure. Ability to ...

Data Engineer II-IT

Wichita, KS

$102K - $123K/yr

Document data flows and contribute to data quality and governance practices. Develop foundational ... Basic understanding of cloud platforms (Azure, AWS) and on-premises infrastructure. Ability to ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Document data flows and contribute to data quality and governance practices. Develop foundational ... Basic understanding of cloud platforms (Azure, AWS) and on-premises infrastructure. Ability to ...

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

... data governance, and continuous improvement of data architecture. At Textron Aviation, we are ... cloud platforms (Azure, AWS) and on-premises infrastructure. • Ability to troubleshoot and ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... governance, lineage, monitoring, DevOps, and security Minimum Requirements • Bachelor's degree in computer science or related field • 6+ years of experience in data engineering, data platform ...

New

Data Architect

Leawood, KS · On-site

$108K - $154K/yr

Understanding of data governance, security, and best practices. * Experience with AI/ML and familiarity with modern AI platforms (e.g., Azure ML, Copilot, Claude, OpenAI) is preferred. HIRING RANGE ...

$59.25 - $73.50/hr

... platforms. This role is critical to ensuring data quality, scalability, security, and analytics ... Lead data governance, naming conventions, and standards Data Migration & Integration * Architect ...

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

As you work on projects and enhancements you will assist in refining data governance within ... data platforms that may involve occasional off-hours and weekend support. * Take ownership of ...

Data Engineer

Kansas City, KS · On-site

$111K - $134K/yr

... and data governance. Responsibilities : • Troubleshoot and develop solutions to problems ... platforms that may involve occasional off-hours and weekend support. • Take ownership of ...

Showing results 21-40

Data Governance Platform information

What is a data governance platform?

A Data Governance Platform is a software solution designed to help organizations manage, monitor, and control their data assets effectively. It provides tools and frameworks for ensuring data quality, security, privacy, and compliance with regulations. These platforms enable companies to define data ownership, establish policies, track data lineage, and facilitate collaboration among stakeholders. By using a data governance platform, businesses can improve data transparency, reduce risks, and make more informed decisions.

What are the key skills and qualifications needed to thrive as a data governance platform specialist?

To thrive as a Data Governance Platform Specialist, you need a solid understanding of data management principles, metadata, data quality, and compliance frameworks, often supported by a degree in information systems or a related field. Familiarity with data governance platforms such as Collibra, Informatica, or Alation, as well as relevant certifications like CDMP, is typically required. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring data integrity, regulatory compliance, and effective collaboration across business and IT teams.

What are some common challenges faced by professionals working with a data governance platform, and how can they be addressed?

Professionals working with a Data Governance Platform often encounter challenges such as ensuring data quality across disparate systems, securing stakeholder buy-in, and maintaining regulatory compliance. Addressing these challenges typically involves collaborating closely with IT, business teams, and data stewards to establish clear data ownership, standardized processes, and ongoing training. Regular communication, well-documented policies, and leveraging platform features for automation and monitoring can help teams proactively manage these complexities and support organizational data initiatives.

What is the difference between Data Governance Platform vs Data Analyst?

AspectData Governance PlatformData Analyst
CredentialsCertifications in data management, data governance, or related fieldsDegrees in statistics, data science, or related fields; often certifications in analytics tools
Work EnvironmentTypically enterprise-level, IT-focused teams managing data policiesBusiness units, analytics teams, or data science departments analyzing data
Employer & Industry UsageUsed by organizations implementing data policies across industriesUsed across industries for data analysis and reporting
Search & Comparison IntentUnderstanding data governance tools and platformsAnalyzing data to generate insights

While a Data Governance Platform focuses on managing data policies, quality, and compliance across an organization, a Data Analyst interprets data to support business decisions. Both roles are essential but serve different functions within data management and analysis.

Is data governance a good career?

Data governance is a growing field that involves establishing policies and standards to manage data quality, security, and compliance within organizations. Careers in data governance typically require skills in data management, understanding of regulations, and familiarity with tools like data catalogs and metadata management platforms. It offers opportunities for advancement in data-driven environments and often involves collaboration with IT and business teams.

What are popular job titles related to Data Governance Platform jobs in Kansas?

For Data Governance Platform jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Data Governance Platform jobs?

Cities in Kansas with the most Data Governance Platform job openings:

Infographic showing various Data Governance Platform job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer III

27Global

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Posted 22 days ago


Job description

Description:

27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve, and the strength of our culture. Our commitment to our employees is evidenced by our five Best Places to Work awards.


We’re looking for a Data Engineer III to join our team! You’ll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence, and scalable applications. You’ll work closely with data and software architects, consultants and other engineers to deliver data models, integration strategies, and governance practices that empower client’s data-driven decisions.


Joining 27Global as a Data Engineer III is an exciting high-growth opportunity offering a competitive base salary, performance bonuses, and variable compensation.


Your Role:

  • Lead the design and development of scalable, secure, and high-performance data architectures that support enterprise analytics and operational workloads.
  • Design, implement, and optimize data pipelines and integration frameworks for batch, streaming, and real-time processing.
  • Partner with data architects and technical leadership to define standards, patterns, and best practices for data modeling, governance, and platform design.
  • Develop and maintain conceptual, logical, and physical data models to support evolving business requirements and enterprise data strategies.
  • Contribute to the architecture and evolution of modern data platforms including data lakes, lakehouses, and cloud-native data warehouses.
  • Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads.
  • Implement and productionize feature engineering pipelines, model data pipelines, and real-time inference capabilities.
  • Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
  • Provide technical leadership and mentorship to junior data engineers, supporting code reviews, design discussions, and engineering best practices.
  • Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions with organizational goals.
  • Evaluate emerging technologies and recommend improvements to data platform architecture, performance, and scalability.
  • Participate in architecture discussions and contribute to enterprise data strategy, ensuring solutions align with long-term platform goals.


Requirements:

What You Bring:

  • BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 5–8 years of experience in data engineering, data architecture, or related roles delivering scalable data platforms from design through production.
  • Strong experience developing software using .NET or other object-oriented programming languages in Agile environments.
  • Proven experience designing and implementing enterprise-scale data pipelines and cloud-based data platforms.
  • Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake, relational and NoSQL databases, AWS Glue, and Azure Synapse.
  • Advanced experience with SQL, ETL/ELT frameworks, and data modeling techniques.
  • Experience designing solutions on cloud platforms (AWS, Azure, GCP) including modern data lake and lakehouse architectures.
  • Working knowledge of data governance, security, and compliance frameworks.
  • Experience contributing to data architecture decisions, platform design, and long-term data strategy.
  • Strong collaboration and leadership skills with the ability to guide technical teams and influence stakeholders.
  • Ability to context switch and work on a variety of projects over specified periods of time.
  • Ability to work at the 27Global office in Leawood, KS with hybrid work flexibility after 90 days, and occasionally onsite at client offices.
  • Flexibility to occasionally travel to client sites may be required, typically 1 week per quarter or less.
  • Legal authorization to work in the United States and the ability to prove eligibility at the time of hire.

Ways to Stand Out:

  • Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer.
  • Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics.
  • Experience with big data technologies such as Spark and Kafka.
  • Experience with modern data warehouses (Snowflake, Redshift, BigQuery).
  • Familiarity with machine learning pipelines and real-time analytics.
  • Experience contributing to enterprise data architecture and governance initiatives.
  • Strong communication skills with the ability to present technical solutions to both engineering teams and business stakeholders.
  • Experience in client-facing consulting environments, helping guide data platform strategy and implementation.

Why 27G?

  • Four-time award winner of Best Place to Work by the Kansas City Business Journal.
  • A casual and fun small business work environment.
  • Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
  • Dedicated time for learning, development, research, and certifications.