Data Governance Engineer

Social network you want to login/join with:

You will be responsible for scaling, automation, and optimizing HBX data governance policies and processes across the entire data lifecycle.

This role is a key contributor to delivering and successfully executing the Data Governance Roadmap. You will be actively involved in creating the company's data quality foundations by developing and delivering technical solutions related to:

• Data Governance & Management policies as code
• Automatic Data Observability and Quality metrics implementation
• Effective and efficient Metadata Management & Data Catalogue
• Data Policies and Procedures automation
• Data Security processes and controls automation

Responsibilities:

Reporting to the Head of Data Governance Office, this role will be responsible for:

• Designing and implementing automatic Data Governance policies and procedures, detecting bad practices, and preventing data quality issues across different data layers and lifecycle phases
• Designing and implementing automatic Data Management policies, procedures, and controls (policy as code) to prevent data misuse
• Designing and implementing automatic Data Quality validation, metrics, and controls
• Designing and implementing automatic Data Observability alerts & workflows
• Collaborating with Data Governance Enterprise Architect to design the optimal data architecture & infrastructure for governed and quality data extraction, transformation, and loading, using SQL, Python, and AWS 'big data' technologies
• Building and deploying Data Governance tools for Data Analysts and Data Scientists to support innovative product development

Skills:

Education:

• Master's Degree in BI & Data Analytics, Big Data

Experience:

• Advanced Python knowledge and experience with various databases for enterprise applications and ML
• Advanced SQL knowledge and experience with relational databases and query authoring
• Data Security management (encryption, masking, GDPR, PCI, secrets, SSO, MFA)
• Experience in root cause analysis and process automation
• Strong analytical skills with structured and unstructured data

Technical Skills:

• Cloud Data Warehouse Platforms: Snowflake or similar
• Programming: SQL, Python, RestAPI
• Data Ingestion / ETL: Airflow, Snowpipe, or similar
• Data Transformation: dbt or similar
• Data Management & Governance platforms: Collate/Open Metadata, Collibra, Infosphere, Montecarlo, Informatica
• Visualization Tools: Tableau or similar
• Version Control: Bitbucket, Gitlab, Github
• Documentation: Atlassian Confluence or similar

Soft Skills:

• Project Management: Agile, Scrum, Kanban
• End-to-end process orientation
• Strategic thinking
• Data literacy and promoting a data-driven culture

Day-to-day activities:

• Governance and management of HBX Data Platform Stack, including security, user roles, permissions, and policies
• Design and implement automated data governance policies and controls to prevent bad practices
• Implement detective controls and alerts across tools and processes
• Ensure data platform connectivity via APIs for governance and consistency
• Develop data security policies to comply with regulations like GDPR and protect internal secrets
• Support data lifecycle management, including upgrades, decommissioning, and archiving in line with retention policies