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Manager, Data Governance Platform

Foster City, CA · On-site

$146K/yr

Execution of Access Governance Roadmap: * Execute access management initiatives aligned to the strategy defined by the Director of Data Governance Platform. * Implement standardized entitlements ...

campus4tech

Data Governance Consultant

This role will focus on configuring and enhancing data governance platforms, developing integrations, and creating custom workflows to meet business requirements. Key Responsibilities * Architect and ...

Artius Solutions

Data Governance Lead

Minneapolis, MN · On-site

$105 - $112/hr

Lead the implementation of Microsoft Purview as the enterprise data governance platform * Define data governance policies, standards, and ownership models * Partner with Finance, IT, and business ...

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How much do data governance platform jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data governance platform in the United States is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $67.07 per hour, depending on experience, location, and employer.

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

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.

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.
More about Data Governance Platform jobs
What cities are hiring for Data Governance Platform jobs? Cities with the most Data Governance Platform job openings:
What states have the most Data Governance Platform jobs? States with the most job openings for Data Governance Platform jobs include:
What job categories do people searching Data Governance Platform jobs look for? The top searched job categories for Data Governance Platform jobs are:
Data Governance Platform jobs near you
Infographic showing various Data Governance Platform job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.
Lead Data Engineer Governance Tools & Data Platform Governance

Lead Data Engineer Governance Tools & Data Platform Governance

ClifyX

Irvine, CA • On-site

$110K - $150K/yr

Other

Posted 29 days ago

Job description

Lead Data Engineer – Governance Tools & Data Platform Governance

Location: Irvine, CA
Experience: 8–14 Years
Salary Range: $110,000 – $150,000 per year

Position Overview

We are seeking an experienced Lead Data Engineer to drive Data Governance, Platform Governance, and Enterprise Data Engineering initiatives across large-scale data environments. This role will be responsible for ensuring data quality, governance compliance, operational excellence, and platform reliability while leading multiple engineering teams and coordinating across global delivery organizations.

The ideal candidate will combine strong technical expertise with leadership capabilities to establish governance standards, improve platform performance, and support enterprise data management objectives.

Required Skills & QualificationsData Engineering & Big Data Technologies
  • Strong hands-on experience with:
    • Databricks
    • Apache Spark
    • Distributed Data Processing
    • Performance Tuning & Optimization
  • Deep understanding of:
    • Data Engineering Architecture
    • ETL/ELT Processes
    • Data Integration
    • Enterprise Data Platforms
  • Experience building and supporting scalable data solutions.
Workflow Orchestration
  • Expertise in:
    • Apache Airflow
    • Astronomer
    • Workflow Automation
    • DAG Development & Management
  • Experience managing complex enterprise workflow environments.
Data Governance & Platform Governance
  • Strong experience implementing and supporting:
    • Data Governance Frameworks
    • Data Quality Controls
    • Metadata Management
    • Data Lineage
    • Platform Governance Standards
    • Compliance & Audit Readiness
  • Ability to establish governance processes that improve data reliability, consistency, and operational efficiency.
DevOps & Automation
  • Experience with:
    • CI/CD Pipelines
    • DevOps Practices
    • Infrastructure as Code (IaC)
    • Automation Frameworks
    • Deployment & Release Management
  • Strong understanding of operational best practices and automation strategies.
Platform Operations & Reliability
  • Experience with:
    • Platform Monitoring
    • Incident Management
    • Alerting & Observability
    • Performance Monitoring
    • Production Support
    • Operational Governance
  • Proven ability to maintain highly available and reliable enterprise data platforms.
Leadership & Stakeholder Management
  • Experience leading multiple engineering teams, delivery pods, or platform workstreams.
  • Strong communication, collaboration, and stakeholder management skills.
  • Ability to coordinate effectively across onshore, nearshore, and offshore teams.
  • Experience managing escalations, delivery risks, and cross-functional dependencies.
Preferred Industry Experience
  • Asset Management
  • Investment Management
  • Capital Markets
  • Portfolio Analytics Platforms
  • Market Data Platforms
  • Financial Services Data Ecosystems
Key ResponsibilitiesGovernance Leadership
  • Lead data governance and platform governance initiatives across enterprise data environments.
  • Define and implement governance frameworks, standards, and best practices.
  • Ensure compliance with data quality, operational, and platform governance requirements.
Data Platform Delivery
  • Oversee end-to-end delivery of enterprise data engineering solutions.
  • Drive scalable data pipeline development, platform optimization, and data quality initiatives.
  • Ensure platform stability, performance, and operational excellence.
Data Quality & Compliance
  • Establish controls and processes to improve:
    • Data Accuracy
    • Data Consistency
    • Data Integrity
    • Data Lineage
    • Compliance Readiness
  • Support governance reporting and audit requirements.
Platform Operations
  • Ensure platform availability, monitoring, and production readiness.
  • Manage incident response, root cause analysis, and service improvement initiatives.
  • Drive continuous improvements in platform performance and reliability.
Stakeholder Engagement
  • Partner with business, technology, and leadership teams to align governance objectives with business priorities.
  • Manage cross-functional communication, issue escalation, and delivery coordination.
  • Provide governance reporting, operational metrics, and platform health updates.
Continuous Improvement
  • Define and implement best practices for:
    • Platform Governance
    • Data Governance
    • Operational Readiness
    • Performance Optimization
    • Automation & Monitoring
  • Drive adoption of governance standards and engineering excellence across teams.
Preferred Leadership Skills
  • Strong leadership and people management capabilities.
  • Excellent communication and stakeholder engagement skills.
  • Proven ability to lead enterprise-scale data engineering and governance initiatives.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Experience managing globally distributed teams.
  • Ability to balance strategic governance objectives with operational delivery requirements.
Keywords

Lead Data Engineer, Data Governance, Platform Governance, Data Quality, Data Lineage, Metadata Management, Databricks, Apache Spark, Apache Airflow, Astronomer, ETL, ELT, Data Platform, CI/CD, DevOps, Infrastructure as Code, Monitoring, Observability, Incident Management, Data Compliance, Asset Management, Investment Management, Capital Markets, Financial Services, Enterprise Data Engineering.

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About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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