GCP Senior Technical Specialist

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:

o Big Query, Dataflow (Apache Beam), Pub/Sub

• Define and optimize data storage & processing architectures using:

o 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.

Skill Requirements

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

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)

Other Requirements

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

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