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GCP Data Architect

GCP Data Architect

Tata Consultancy Servicesnagpur, maharashtra, in
10 hours ago
Job description

Job Title : - GCP Data Architect

Experience : 7 to 12 years

Location : Pan India

Virtual Drive : 10am to 4pm

Date : 11th Oct 2025

Greetings from TCS!!!

Job Description :

  • Design and Implement Data Architectures : Architect and build scalable, end-to-end data solutions on GCP, encompassing data ingestion, transformation, storage, and consumption.
  • Develop Data Pipelines : Design and develop ETL / ELT data pipelines using tools like Apache Airflow (Cloud Composer) and programming languages such as Python and SQL for batch and real-time processing.
  • Create Data Models : Build logical and physical data models, including dimensional modelling and schema design, to support data warehousing, data lakes, and analytics.
  • Ensure Data Quality and Governance : Establish and enforce data governance, security, and quality standards, implementing data validation and testing procedures.
  • Collaborate with Stakeholders : Work with data engineers, business analysts, data scientists, and product owners to translate business requirements into technical data solutions.
  • Optimize GCP Services : Optimize the performance and cost-effectiveness of GCP services, particularly Big Query, for analytics and data storage.
  • Provide Technical Guidance : Lead architectural reviews, provide technical guidance on cloud-native data strategies, and mentor engineering teams on GCP best practices.

Required Skills and Knowledge

  • Google Cloud Platform (GCP) : Expertise with GCP services like BigQuery, Cloud Storage, Cloud SQL, and Cloud Composer.
  • Data Modelling : Proficiency in designing data models for data warehouses and data lakes.
  • ETL / ELT : Experience with designing and building data pipelines using tools like Apache Airflow.
  • Programming : Strong skills in SQL and Python for data processing and development.
  • Data Governance : Understanding and ability to implement data governance, metadata management, and security policies.
  • Collaboration : Strong communication skills to work with cross-functional teams and explain complex technical concepts.
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