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 modern 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: 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)

📌 GCP Data Architect (Lucknow)
🏢 HCLTech
📍 Lucknow