LovelyticsRemote
Principal Consultant, Data Governance (Senior Data Governance Engineer)
United States of America
Full Time
1 week ago
$140,000 - $170,000 USD
H1B Sponsor Likely
Key skills
Data governanceDAMA-DMBOKUnity CatalogAtlanAnomaloDatabricksApache SparkData catalogingData qualityMetadata managementData lineageAccess control frameworksCloud data architecture migrationContainerizationGoogle WorkspaceMacOSSlackAtlassianClient-facing communicationStakeholder influenceAISparkCommunication
About this role
Lovelytics is a consulting firm that specializes in modernizing data for complex enterprises across various industries. They are seeking a Data Governance Principal Consultant to lead data governance workstreams, develop strategies, and mentor junior team members while ensuring compliance and enhancing data quality for clients.
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 without requiring significant oversight
- Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance
- Introduce emerging technologies and methodologies for completion of data governance tasks and capabilities
- Develop and execute data governance and/or AI Governance strategy that improved data discoverability, data quality, accessibility, usability, AI use case evaluation, and AI readiness
- Lead successful migrations of complex data architecture from on-premises to cloud environments
- Establish and enforce data governance practices resulting in improved data security and compliance
- Introduce containerization to the organization, enhancing scalability and deployment efficiency
- Mentor junior engineers, review code, and guide small teams through implementation
- Help create technical blueprints and recommend tools, frameworks, and design patterns aligned to client needs
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 4+ years of experience in data governance with 2+ years in a client facing role, preferably in a professional services firm
- Advanced in data governance capabilities as defined by the DAMA-DMBOK
- Advanced knowledge of Databricks and Spark (required)
- Strong client-facing communication skills with the ability to influence technical and executive stakeholders
- A tech stack of Google Workspace (email, tools), MacOS, Slack (internal comms), Atlassian
- Certified in governance toolsets such as Unity Catalog, Atlan, or Anomalo preferred