Bengaluru, Karnataka
Job Summary

We are looking for a highly experienced GCP Data Architect to lead the design and implementation of scalable, secure, and high-performance data platforms on Google Cloud. This role requires deep expertise in modern data architectures, strong hands-on capability, and the ability to drive enterprise-level data transformation initiatives.

Key Responsibilities
Architect and implement end-to-end data platforms on Google Cloud Platform (GCP).
Design and build scalable batch and real-time data pipelines using:
Big Query, Dataflow (Apache Beam), Pub/Sub
Define and optimize data storage & processing architectures using:
Big Query, Cloud Storage, Cloud SQL, Fire store
Lead development of robust data models, data warehouses, and data lakes .
Establish data governance, quality, security, and compliance frameworks .
Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into scalable solutions.
Drive performance optimization, cost efficiency, and reliability across data platforms.
Provide technical leadership , conduct design reviews, and mentor engineering teams.
Define and enforce best practices, standards, and reusable frameworks .
Evaluate and adopt emerging GCP services and modern data architecture patterns .

Required Qualifications

Bachelor’s/master’s degree in computer science, IT, or related field
10+ years of experience in Data Engineering / Data Architecture

Strong hands-on expertise in GCP ecosystem

Skill Requirements

Core Technical Skills (Must-Have)

GCP Services:
Big Query (Advanced level)
Dataflow (Apache Beam)




Pub/Sub
Cloud Storage
Cloud SQL / Fire store

Data Engineering & Architecture:
ETL/ELT pipeline design (batch & streaming)
Data Warehousing & Data Modeling (Star, Snowflake)
Distributed data processing
Real-time data architecture

Programming:
Python, SQL (mandatory)

Architecture Expertise:
End-to-end data platform design
Data governance & security models
Metadata, lineage, and cataloging

Preferred Skills

GCP Certifications:
Qualified Data Engineer / Cloud Architect

Experience with:
Apache Spark / Hadoop ecosystem
Machine Learning & AI pipeline integration

Exposure to:
CI/CD, DevOps practices, Terraform
Workflow orchestration (Airflow / Cloud Composer)

Leadership & Behavioral Competencies

Strong ownership and accountability
Excellent problem-solving and analytical thinking
Stakeholder management and executive communication
Ability to lead teams and drive decisions
Process-oriented with focus on scalability and governance

Role Expectations

Act as solution owner for data architecture decisions
Drive best practices adaption across teams
Ensure alignment with enterprise data strategy
Enable faster and reliable data-driven decision-making
Other Requirements

1. Google Professional Data Engineer Or Google Professional Cloud Architect Certification (Optional But Valuable

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