Senior Data Engineer - Data Governance
Listed on 2026-03-05
-
IT/Tech
Data Security, Data Engineer
As a world leading provider of integrated solutions for the alternative investment industry, Alter Domus (meaning “The Other House” in Latin) is proud to be home to 90% of the top 30 asset managers in the private markets, and more than 6,000 professionals across 24 jurisdictions.
With a deep understanding of what it takes to succeed in alternatives, we believe in being different in what we do, how we work, and most importantly in how we enable and develop our people. Invest yourself in the alternative, and join an organization where you progress on merit, where you can speak openly with whoever you are speaking to, and where you will be supported along whichever path you choose to take.
Find out more about life at Alter Domus at
JOB DESCRIPTIONWe are seeking a highly skilled and experienced Senior Data Engineer with deep expertise in data governance to join our team and play a pivotal role in safeguarding our organization’s data assets while building and maintaining robust data platforms. In this critical position, you will bridge the gap between data engineering, governance, and security, ensuring that our data pipelines and management practices align with privacy, compliance, and operational risk standards.
You will be responsible for designing and implementing data solutions while establishing and enforcing comprehensive policies and standards for data stewardship, compliance, and security within our data platform. Your primary focus will be on engineering scalable data architectures that protect sensitive information while enabling appropriate access controls and ensuring adherence to relevant regulations.
The ideal candidate will possess a strong background in data governance, risk management, and data security practices, with proven ability to navigate complex regulatory environments and implement effective technical solutions.
Your Objectives- Design, build, and maintain secure and compliant data platforms that ensure data integrity, quality, and governance across the organization.
- Ensure the integrity, quality, and compliance of data across the data engineering team through effective governance practices.
- Establish a culture of data stewardship and accountability among data owners and users through both technical and policy measures.
- Implement robust data protection measures that align with industry regulations and best practices while enabling data accessibility.
- Enhance the organization’s ability to respond to data security incidents and compliance challenges effectively through automated monitoring and controls.
- Create unified views of data assets across multiple platforms, reducing duplication and sprawl while improving discoverability.
- Design, develop, and maintain scalable data pipelines and architectures with embedded governance controls, implementing ETL/ELT processes with data quality checks, lineage tracking, and access controls using Databricks and AWS services.
- Deploy, configure, and administer Unity Catalog in Databricks as the centralized governance solution, managing fine-grained access control from account level down to table rows and columns, and implementing data cataloging, classification, and lineage tracking.
- Develop, implement, and maintain comprehensive data governance policies, standards, and procedures to ensure data integrity, quality, and compliance, including data classification, retention, and stewardship, leveraging Unity Catalog, AWS Data Zone, and tools such as Collibra, Alation, and Apache Atlas.
- Establish and manage data stewardship roles and responsibilities, ensuring accountability for data quality and compliance while defining and enforcing data access controls to protect sensitive information and enable appropriate access for authorized users.
- Perform sensitive data discovery and classification to identify and protect critical information assets, implementing Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks within Unity Catalog and AWS environments.
- Implement data masking, audit logging, tokenization, and key management practices across multi-cloud environments, and design protection measures for both…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).