GCP Technical Specialist

Job Summary

We are looking for an experienced GCP Data Architect to design and build scalable, secure, and high-performance data platforms on Google Cloud. This role will drive architecture decisions, enable data-driven solutions, and ensure best practices across data engineering and analytics ecosystems.

Key Responsibilities

Design and implement scalable data architectures on Google Cloud Platform (GCP).
Build and optimize batch and real-time data pipelines using:

Google Cloud Dataflow
Google Cloud Pub/Sub
BigQuery

Architect and manage data storage solutions using:

Google Cloud Storage (GCS)
BigQuery
Cloud SQL / Firestore

Develop robust data models and data warehousing solutions (OLTP/OLAP).
Lead data integration and ETL/ELT frameworks ensuring performance and scalability.
Ensure data quality, governance, security, and compliance across systems.
Collaborate with data scientists, analysts, and business teams to translate requirements into solutions.
Monitor system performance, troubleshoot issues, and ensure high availability and reliability.
Provide technical leadership, mentor junior engineers, and define engineering standards.
Stay updated with evolving GCP services, architecture patterns, and best practices.

Skill Requirements

Experience

10+ years in Data Engineering / Data Architecture
Strong hands-on experience in GCP ecosystem

Core Technical Skills

GCP Services:

BigQuery (must-have)
Dataflow (Apache Beam)
Pub/Sub
Cloud Storage
Cloud SQL / Firestore

Expertise in:

Data Warehousing & Data Modeling (Star/Snowflake schemas)
ETL/ELT pipeline design
Real-time & batch processing frameworks

Programming:

Python, SQL (mandatory)

Strong understanding of:

Distributed systems
Performance optimization techniques

Architecture & Design

Ability to design end-to-end data platforms
Experience in defining:

Data governance frameworks
Metadata & lineage strategies
Security & access control models

Soft Skills

Strong analytical and problem-solving ability
Excellent stakeholder communication
Ability to work independently and lead teams

Other Requirements

1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.

GCP Certifications:

Professional Data Engineer
Professional Cloud Architect

Experience with:

Big Data tools (Hadoop, Spark)
Machine Learning / AI pipelines

Exposure to:

CI/CD, DevOps, Infrastructure as Code (Terraform)
Data orchestration tools (Airflow, Composer)

Key Competencies

Solution Architecture & Design Thinking
Scalability & Performance Optimization
Stakeholder Management
Leadership & Mentorship
Process and Governance Orientation

Good to Have

Experience working in enterprise-scale data environments
Knowledge of multi-cloud or hybrid architectures
Domain exposure (Healthcare, Retail, Finance, etc.)