Talent.com
This job offer is not available in your country.
Data Warehouse Architect

Data Warehouse Architect

Capital NumbersGurugram, Haryana, India
12 days ago
Job description

We are seeking a highly skilled Database / Data Warehouse Architect with a strong background in Data Vault 2.0 methodology to join our team. The ideal candidate will have a minimum of 5 years of experience in database architecture, data modeling, and data integration, with proven expertise in designing and implementing enterprise-scale data warehouses.

Key Responsibilities :

  • Design and implement scalable and efficient Data Warehouse solutions using Data Vault 2.0 methodology .
  • Develop and maintain data models , including hubs, links, and satellites, ensuring data consistency and quality.
  • Collaborate with business stakeholders, data engineers, and analysts to define data integration and ETL frameworks .
  • Lead the architecture and implementation of end-to-end Data Vault 2.0 solutions.
  • Optimize data storage, retrieval, and performance using best practices in data architecture.
  • Work with Snowflake (preferred) or other cloud-based data platforms to develop and deploy data solutions.
  • Ensure compliance with data governance and security policies.

Required Qualifications :

  • 5+ years of experience as a Database / Data Warehouse Architect .
  • Proven expertise in Data Vault 2.0 methodology and hands-on experience with at least one end-to-end Data Vault 2.0 project .
  • Strong understanding of data modeling, data integration, and ETL frameworks .
  • Experience with Snowflake or similar cloud-based data platforms (preferred).
  • Solid knowledge of SQL, data pipelines, and performance optimization techniques.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills to work with cross-functional teams.
  • Preferred Qualifications :

  • Experience with cloud-based data solutions (AWS, Azure, or GCP) .
  • Knowledge of Python, Scala, or other scripting languages for data processing.
  • Familiarity with BI tools and reporting frameworks