Data Architect GCP

Data Engineering Architect – Key Requirements \& Responsibilities

• 12\+ years of experience in Data Engineering, delivering large\-scale enterprise data platforms and modernization initiatives.
• 5\+ years of hands\-on experience with Google Cloud Platform (GCP) and 3\+ years in Data Architecture/Solution Architecture roles.
• Strong expertise in designing and implementing end\-to\-end data lake and analytics architectures using GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
• Extensive hands\-on Python development experience for data engineering and automation solutions.
• Proven experience building scalable batch and real\-time data ingestion pipelines using Dataflow, Pub/Sub, Apache Spark, and related technologies.
• Strong knowledge of GCP cost optimization, performance tuning, IAM, security, governance, and metadata management.
• Experience with Dataplex, Data Catalog, and enterprise data governance frameworks.
• Hands\-on experience with containerization technologies and CI/CD implementation using GitHub Actions.
• Ability to integrate cloud data platforms with enterprise systems such as SAP S/4HANA and Salesforce for batch and streaming workloads.
• Provide architectural leadership, define best practices, and mentor engineering teams on GCP and data engineering standards.
• Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into scalable technical solutions.
• Ensure data security, compliance, access controls, and operational excellence across the platform.

• *Preferred:** GCP Professional Data Engineer/Cloud Architect certifications, Apache Spark/Python certifications, and experience with BI tools such as Tableau and Power BI.

Pay: ₹400,000\.00 \- ₹500,000\.00 per month

Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru Urban District)