GCP Senior Technical Specialist
Pune · Staff/Principal
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Job description
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.
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