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, 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 layers of the data stack and phases of the data lifecycle
- Designing and implementing automatic Data Management policies, procedures, and controls (policy as code) to prevent data misuse across the organization
- Designing and implementing automatic Data Quality controls, validation, metrics, and alerts
- Designing and implementing automatic Data Observability alerts and workflows
- Collaborating with Data Governance Enterprise Architect to design optimal data architecture and 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 product development and innovation
Skills
Education
- Computer & Information Science / Computer Engineering / Mathematics
- Master's Degree in BI & Data Analytics, Big Data
Experience
- Advanced Python knowledge and experience with enterprise applications and ML apps
- Advanced SQL knowledge and experience with relational databases
- Data Security management (encryption, masking, GDPR, PCI, secrets, SSO, MFA)
- Experience in root cause analysis and process improvement
- Experience in Data systems automation and administration
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 or similar
- Visualization Tools: Tableau or similar
- Git Repositories: Bitbucket Cloud, GitLab, GitHub
- Documentation: Atlassian Confluence or similar
Soft Skills
- Project Management: Agile, Scrum, Kanban
- End-to-end process orientation
- Strategic Thinking
- Data literacy and fostering a data-driven culture
Day-to-day activities
- Govern and manage the HBX Data Platform Stack in terms of security, user management, roles, permissions, and policy implementation
- Design and implement automated data governance policies and preventive controls
- Design and implement detective controls and alerts across tools and processes
- Ensure data platform components interconnectivity and governance via API
- Implement data security policies to ensure compliance with regulations like GDPR
- Support and guide the full data lifecycle management in line with data retention policies