About the Role

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 contemporary data architectures, strong hands-on capability, and the ability to drive enterprise-level data transformation initiatives.

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 contemporary data architecture patterns.

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

Required Skills
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: Skilled 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)

📌 Gcp Data Architect Lucknow
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