Job Summary

We are looking for an experienced GCP Data Architect to design, develop, and implement scalable, secure, and high-performance data architecture solutions on Google Cloud Platform. The ideal candidate should have strong expertise in cloud data engineering, data warehousing, data modelling, ETL/ELT pipelines, and big data technologies.

Key Responsibilities

- Design and implement end-to-end data architecture solutions using GCP.

- Develop scalable data pipelines using BigQuery, Dataflow, and Dataproc.

- Define enterprise data architecture, data modelling, and data integration strategies.

- Design and optimize data warehouses and data lakes on GCP.

- Implement ETL/ELT pipelines using Python, SQL, and Apache Beam.

- Establish data governance, data security, data quality, and compliance standards.

- Work with business stakeholders, data engineers,



and analytics teams.

- Optimize BigQuery performance, query execution, and cloud infrastructure costs.

- Lead technical discussions and provide architectural guidance to development teams.

Mandatory Technical Skills

- Strong experience in Google Cloud Platform (GCP).

- Hands-on expertise in BigQuery, Dataflow, Dataproc, and Cloud Storage.

- Robust knowledge of Python, SQL, and Apache Beam.

- Experience with ETL/ELT development and data pipeline architecture.

- Expertise in data modelling, data warehousing, and data lake architecture.

- Knowledge of GCP IAM, security, and data governance.

- Experience designing enterprise-level cloud data solutions.

📌 GCP Data Architect (Hyderabad)
🏢 Infosys APAC
📍 Hyderabad