Candidate Expectations

Total Experience and Relevant Experience - 10+ years of overall experience with strong experience in Data Architecture, Enterprise Data Modelling, and Database Architecture & Design.

Skills

Data Architect, RDBMS, NoSQL, Database ArchitectureCandidate Industry - Financial Services / Capital Markets /Banking - Architecture

Education and Certification

Qualification: Bachelor s or master s degree in computer science, Information Systems, Engineering, or related discipline.

Detailed Job Description

- Strong experience in Data Architecture and Enterprise Data Modelling.
- Strong understanding of Domain-Driven Design.
- Experience with CQRS implementation.
- Strong hands-on experience with NoSQL / Distributed Database design.
- Experience with Cassandra and YugabyteDB.
- Deep expertise in relational database design and modelling using Oracle and/or PostgreSQL.




- Strong understanding of data normalization and denormalization.
- Solid understanding of distributed data design.
- Experience creating Domain, Conceptual, Logical, and Physical Data Models.
- Experience with data modelling tools such as ER/Studio and/or Hackolade.
- Strong knowledge of enterprise integration and data governance principles.
- Familiarity with cloud and hybrid data architectures is advantageous.

KEY SKILLS: Data Architect, Enterprise Data Architect, Data Architecture, Enterprise Data Modelling, Data Modelling, Database Architecture, Database Design, RDBMS, Oracle, PostgreSQL, NoSQL, Distributed Databases, Cassandra, YugabyteDB

📌 Data Architect (Bengaluru)
🏢 Golden Opportunities
📍 Bengaluru