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 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
* Coordinating with the Data Governance Enterprise Architect to design the optimal data architecture and infrastructure for governed and quality data extraction, transformation, and loading from various sources using SQL, Python, and AWS 'big data' technologies
* Building and deploying Data Governance tools to support Data Analysts and Data Scientists in developing and optimizing products into an industry-leading innovative solution
Skills
Education
* Degree in Computer & Information Science, Computer Engineering, Mathematics, BI & Data Analytics, or Big Data
Experience
* Advanced knowledge of Python (libraries, packages) and experience with various databases for enterprise applications and ML development
* Proficiency in SQL and experience with relational databases and query development
* Experience in Data Security management (encryption, masking, GDPR, PCI, secrets, SSO, MFA)
* Experience in root cause analysis and process improvement based on internal and external data
* Experience in automating and administering data systems
* Strong analytical skills with structured and unstructured datasets
Technical Skills
* Management of Cloud Data Warehouse Platforms like Snowflake or similar
* Proficiency in SQL, Python, RestAPI
* Experience with Data Ingestion/ETL tools such as Airflow, Snowpipe, or similar
* Familiarity with Data Transformation tools like dbt or similar
* Experience with Data Management & Governance platforms such as Collate, Open Metadata, Collibra, Infosphere, Montecarlo, Informatica or similar
* Knowledge of Cloud Data Visualization tools like Tableau or similar
* Experience with Git repositories like Bitbucket, Gitlab, or Github
* Proficiency with documentation tools like Atlassian Confluence or similar
Soft Skills
* Project Management skills and familiarity with Agile, Scrum, Kanban methodologies
* End-to-end process orientation and strategic thinking
* Strong data literacy and promotion of a data-driven culture
Day-to-day activities
* Governance and management of the HBX Data Platform Stack, including security, user management, roles, permissions, best practices, and policy implementation
* Design and implementation of advanced automated data governance policies and preventive controls
* Development of detective controls and alerts across tools and processes
* Ensuring system connectivity via API for data platform components to maintain governance and consistency
* Design and enforcement of data security policies, roles, permissions, and controls to ensure compliance with regulations like GDPR and internal policies
* Supporting and guiding the full data lifecycle management, including upgrades, management, decommissioning, and archiving in line with data retention policies
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