Principal Consultant, Data Governance – Senior Data Governance Engineer

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About the role

  • Principal Data Governance Consultant helping enterprise clients modernize data and AI governance on Databricks. Leading governance frameworks, cloud migrations, and client delivery across the U.S. and Canada.

Responsibilities

  • Lead data governance workstreams end-to-end, including data cataloging, data quality, metadata management, lineage, and access control frameworks
  • Translate client business needs into governance solutions and roadmaps with minimal oversight
  • Create, socialize, and implement data governance policies, procedures, and frameworks while ensuring compliance
  • Introduce emerging technologies and methodologies for data governance tasks and capabilities
  • Develop and execute data governance and/or AI governance strategies improving discoverability, quality, accessibility, usability, AI use-case evaluation, and AI readiness
  • Lead migrations of complex data architectures from on-premises to cloud environments
  • Establish and enforce data governance practices that improve data security and compliance
  • Introduce containerization to enhance scalability and deployment efficiency
  • Mentor junior engineers, review code, and guide small implementation teams
  • Create technical blueprints and recommend tools, frameworks, and design patterns aligned with client needs
  • Lead small engagements and workstreams, contribute to pre-sales pursuits, and serve as a trusted client presence

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 4+ years of experience in data governance, including 2+ years in a client-facing role
  • Advanced data governance capabilities as defined by DAMA-DMBOK
  • Advanced knowledge of Databricks and Spark (required)
  • Strong client-facing communication skills and ability to influence technical and executive stakeholders
  • Experience with Google Workspace, MacOS, Slack, and Atlassian
  • Certification in governance toolsets such as Unity Catalog, Atlan, or Anomalo is preferred

Benefits

  • Remote work option for candidates in the U.S. and Ontario, Canada
  • Option to work from offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto
  • Best Places to Work recognition
  • Technically excellent, low-ego culture
  • Opportunity to work with Databricks and AWS, Azure, and GCP partnerships

Job title

Job type

Full Time

Experience level

Senior

Salary

$140,000 - $170,000 per year

Degree requirement

Bachelor's Degree

Tech skills

CloudMacOSSparkUnity

Location requirements

RemoteUnited States

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