Architect, Data Governance

Lovelytics

. Formulate data and AI governance strategies aligned with business objectives and industry best practices .

Posted 10/2/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $155,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance strategies and frameworks, ensuring compliance and enhancing data quality and accessibility. Proficient in leading technical discovery and mentoring teams while effectively communicating with stakeholders.

Highest-signal resume keywords

Data Governance StrategyDAMA-DMBOK MasteryDatabricks ExpertiseClient-Facing CommunicationGovernance Toolset Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data GovernanceAI GovernanceData Architecture MigrationContainerizationTechnical Blueprint CreationProofs of Concept DevelopmentData Quality ImprovementData Security PracticesAI Use Case EvaluationData Usability Enhancement

Soft Skills

MentoringInfluencing StakeholdersCollaboration

Tools & Technologies

Unity CatalogAtlanAnomaloDatabricksSparkGoogle WorkspaceMacOSSlackAtlassian

Certifications & Qualifications

Governance Toolset Certification

Industry Keywords

Data Governance PoliciesComplianceEmerging TechnologiesProfessional ServicesClient-Facing Role

Tech Stack

Tools & technologies

CloudMacOSSparkUnity

About the role

Key responsibilities & impact

Formulate data and AI governance strategies aligned with business objectives and industry best practices
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 data discoverability, quality, accessibility, usability, AI use case evaluation, and AI readiness
Lead migration of complex data architectures from on-premises to cloud environments
Establish and enforce data governance practices improving data security and compliance
Introduce containerization to enhance scalability and deployment efficiency
Mentor engineers, review architectures and code, and guide teams through implementation
Lead technical discovery, shape solution architectures, respond to RFPs, and deliver demos and proofs of concept for data engineering engagements
Create technical blueprints and recommend tools, frameworks, and design patterns aligned with client needs
Partner with sales and account teams to scope engagements, shape technical proposals, and showcase governance expertise

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
5+ years of experience in data governance, with 4+ years in a client-facing role, preferably in a professional services firm
Mastery in data governance capabilities as defined by the DAMA-DMBOK
Certification in governance toolsets such as Unity Catalog, Atlan, or Anomalo
Expert knowledge of Databricks and Spark
Experience creating proofs of concept, technical presales presentations, and pricing for engagements
Strong client-facing communication skills with the ability to influence technical and executive stakeholders
Experience with Google Workspace, macOS, Slack, and Atlassian

Benefits

Comp & perks

Equal Opportunity Employer commitment and fair application process