Data Governance Architect
3 days ago
We are MSD International GmbH (Singapore Branch), a leading organization in the field of data-driven innovation. Our team is passionate about designing and building cutting-edge data solutions that drive business growth.
Job Title: Enterprise Data Access Control Technical Lead
Salary: SGD $150,000 - SGD $200,000 per annum, depending on experience.
Job Description
Data Governance and Access Control
The successful candidate will oversee all technical aspects of our Enterprise Data Access Control product, ensuring seamless integration with our data architecture. This role involves managing a team of experienced data engineers and developers to design, develop, and deliver high-quality data access control solutions.
Responsibilities
- Lead the technical development of our Enterprise Data Access Control product, collaborating closely with cross-functional teams.
- Manage a team of skilled data engineers and developers, providing guidance and mentorship to ensure successful project delivery.
- Collaborate with technology vendors to evaluate and implement industry-leading data products, aligning with our company's strategic roadmap.
- Participate in new technology evaluations to identify opportunities and estimate effort required to support our product roadmap.
- Oversee the development lifecycle, ensuring timely delivery and maintaining high standards of quality.
Requirements
Qualifications
Required
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 8+ years of experience in software/data engineering and architecture.
- 5+ years of experience in data and analytics delivery initiatives.
- Proven track record of delivering projects on time and within budget.
Preferred Qualifications
Desirable
- Understanding of data trends such as Data Fabric, Data Mesh, Zero Trust, and data ownership strategies.
- Knowledge of the AWS cloud ecosystem from a data and analytics standpoint.
- Familiarity with industry data access control products such as Immuta, Okera, Privacera, and Apache Ranger.
- Experience with enterprise metadata catalog tools like Collibra, Amazon Glue, Informatica, and Alation.
- Proficiency in data layer tools such as Databricks, Starburst Trino, Amazon Redshift, dbt, and Matillion.
- Understanding of AI & Machine Learning life cycle management and AI/ML model life cycle management.
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