About the Company
Requirement for Lead Data Engineering with experience in Data Vault
About the Role
Location: Chennai Hybrid
Experience: 10 plus years
Responsibilities
- 10+ years of overall IT/Data experience, with at least 5+ years dedicated to Enterprise Data Architecture and Data Modeling.
- Deep, proven expertise in designing and implementing Data Vault 2.0 architectures (Hubs, Links, Satellites, Hash Keys, PIT/Bridge tables).
- Practical experience implementing and guiding teams on AI-assisted development tools (GenAI, LLMs, Copilot) to accelerate data engineering and modeling workflows.
- Advanced SQL proficiency and hands-on experience with modern cloud data platforms (e.g., Snowflake, Azure Synapse).
- Certified Data Vault 2.0 Practitioner (CDVP2) certification is highly desired.
- Experience integrating Data Vault methodologies with automated transformation tools like dbt and utilizing AI to generate dbt macros.
- Familiarity with Data Mesh concepts and how Data Vault fits within decentralized architectures.
- Give and seek continuous Clarity.
- Care about themselves and others.
- Make decisions that will Grow our business and people.
- Manage Complexity: Ability to untangle complex data ecosystems into manageable, scalable architectures.
- Continuous Learner: Highly adaptable and constantly updating skills with the latest tech trends (like AI coding tools).
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field.
Required Skills
- 10+ years of overall IT/Data experience.
- 5+ years dedicated to Enterprise Data Architecture and Data Modeling.
- Deep expertise in Data Vault 2.0 architectures.
- Advanced SQL proficiency.
- Hands-on experience with modern cloud data platforms.
Preferred Skills
- Certified Data Vault 2.0 Practitioner (CDVP2) certification.
- Experience with AI-assisted development tools.
- Familiarity with Data Mesh concepts.
Pay range and compensation package
Not specified in the job description.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
