GCP Data Architect -

We are seeking an experienced GCP Data Architect to design, build, and govern scalable, secure, and high-performance data platforms on Google Cloud Platform (GCP). The role requires deep expertise in cloud-native data architecture, ETL/ELT pipelines, analytics, and data warehousing, along with the ability to translate business requirements into robust technical solutions.

Key Responsibilities

- Design end-to-end GCP data architecture solutions
- Define and implement scalable, secure, and cost-efficient data platforms
- Architect and build ETL/ELT pipelines using Python and GCP-native services
- Design and optimize data warehousing and analytics solutions using BigQuery
- Develop and orchestrate data workflows using Cloud Composer (Airflow)
- Implement large-scale data processing using Dataflow and Dataproc
- Design event-driven and streaming architectures using Pub/Sub and Cloud Functions
- Manage and optimize data storage using Cloud Storage
- Design and manage SQL-based data models and schemas




- Integrate and manage relational databases including MS SQL Server and PostgreSQL
- Ensure best practices around data governance
- Collaborate with stakeholders, engineering teams, and business users to align data architecture with business goals

Required Skills & Experience

- Strong hands-on experience with Google Cloud Platform (GCP)
- Proven experience as a Data Architect or Senior Data Engineer
- Expertise in BigQuery and modern data warehousing concepts
- Strong proficiency in SQL and Python
- Experience building and maintaining cloud-based ETL/ELT pipelines
- Solid experience with relational databases: MS SQL Server, PostgreSQL
- Solid understanding of data modeling, schema design, and performance optimization
- Experience with large-scale, distributed data systems

Education

- Bachelors degree in Computer Science, Information Systems, Engineering, or a related field
- Equivalent practical experience will be considered

📌 GCP Data Architect (Pune)
🏢 Datametica
📍 Pune