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Capco

GCP Data Architect

Posted An Hour Ago
Be an Early Applicant
Hybrid
Pune, Maharashtra, IND
Expert/Leader
Hybrid
Pune, Maharashtra, IND
Expert/Leader
Lead design and delivery of GCP data platforms using BigQuery, Pub/Sub, and Dataflow. Architect high-volume ingestion and ETL pipelines, drive cloud migrations, mentor engineers, ensure security, cost optimization, and stakeholder alignment to deliver analytics and ML-ready data solutions.
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About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.


CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

In this role, you will:

Job Summary:


About the Role We are seeking an experienced GCP Lead to spearhead cloud data architecture and delivery on Google Cloud Platform (GCP). In this leadership role, you will design, implement, and optimize scalable data pipelines using BigQuery, Pub/Sub, and ETL frameworks, while driving stakeholder alignment across engineering, product, and business teams. The ideal candidate thrives in fast-paced environments, mentoring teams on GCP best practices and ensuring seamless data-driven solutions for enterprise clients. Key ResponsibilitiesLead end-to-end GCP data platform implementations, focusing on BigQuery for analytics, Pub/Sub for real-time messaging, and ETL pipelines using Dataflow, Composer, or custom tools.Architect and optimize high-volume data ingestion, transformation, and querying workflows to support business intelligence and ML workloads.Collaborate with cross-functional stakeholders—including product owners, data scientists, and executives—to gather requirements, define roadmaps, and deliver value through clear communication and presentations.Mentor junior engineers on GCP services, conduct code reviews, and enforce best practices for security, cost optimization, and scalability.Troubleshoot complex issues in production environments, perform performance tuning, and integrate with hybrid/multi-cloud setups.Drive migration projects from on-premise or other clouds (e.g., AWS/Cloudera) to GCP, ensuring minimal downtime and data integrity.

Required Qualifications10-12 years of total experience in IT/cloud consulting, with at least 5+ years hands-on with GCP (BigQuery, Pub/Sub, Dataflow/ETL).Bachelor's or Master's degree in Computer Science, Engineering, or related field.Proven track record leading GCP projects with measurable outcomes (e.g., reduced ETL latency by 40% or scaled Pub/Sub to millions of events/sec).Strong communication skills for stakeholder management, including executive presentations and agile ceremonies.GCP certifications (e.g., Professional Data Engineer, Professional Cloud Architect) preferred.Preferred SkillsExperience with Dataproc, Vertex AI, or integration with tools like Snowflake/Databricks.Familiarity with CI/CD (Cloud Build), IAM, and monitoring (Cloud Monitoring/Logging).Knowledge of data governance, compliance (GDPR), and cost management in GCP.


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