GCP Senior Data Architect

Pune, Maharashtra

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:

Professional 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

#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-