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

Bachelors or Masters degree in Computer Science, Information Systems, or related technical field.

Required Skills

Preferred Skills

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.

Lead Data Engineer Data Vault