Data Architect

5 days ago

Chennai, Tamil Nadu, India Newt Global Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Description: Data Modeler (GCP | OLTP & OLAP | Erwin)

Position: Data Architect

Location: Chennai(WFO)

Employment Type: Full-time

Experience: 10+ years (minimum 5+ years in Data Modeling)

Role Overview

We are seeking an experienced Data Modeler with strong expertise in OLTP and OLAP data modeling, Google Cloud Platform (GCP), and hands-on experience with Erwin Data Modeler. The ideal candidate will be responsible for designing, implementing, and optimizing data models that support both transactional and analytical systems, ensuring scalability, performance, and data integrity.

Key Responsibilities

  • Design and develop conceptual, logical, and physical data models for OLTP and OLAP systems.
  • Work with business and technical teams to translate requirements into scalable data architectures.
  • Develop and maintain data dictionaries, metadata, and data lineage documentation.
  • Optimize data models for query performance, scalability, and maintainability.
  • Collaborate with Data Engineers, Architects, and Analysts to implement models in GCP-based data platforms (e.g., BigQuery, Cloud SQL, Cloud Spanner).
  • Conduct data profiling, data quality checks, and impact analysis for schema changes.
  • Ensure data modeling best practices, governance, and compliance standards.
  • Use Erwin Data Modeler (or equivalent tools) for data modeling, version control, and model management.

Required Skills & Experience

  • 10+ years of overall experience in data modeling and database design.
  • Strong expertise in OLTP and OLAP systems with deep understanding of normalized and denormalized modeling techniques.
  • Hands-on experience with GCP data services (BigQuery, Cloud SQL, Spanner, Pub/Sub, Dataflow, etc.).
  • Proficiency in Erwin Data Modeler (or similar tools).
  • Strong knowledge of SQL, performance tuning, and query optimization.
  • Experience working in data warehouse, data lake, and cloud-based environments.
  • Familiarity with ETL/ELT frameworks and data pipelines.
  • Excellent communication and collaboration skills.

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