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HCLTech

GCP Data Architect

Bengaluru · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 33d ago

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Skills required

8 listed
Google Cloud Platform (GCP)CI/CDGoogle CloudBigQueryDataflowPython (Programming Language)Extract Transform Load (ETL)Scalability
Google Cloud Platform (GCP)CI/CDGoogle CloudBigQueryDataflow

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Job description

Job Summary

The GCP Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and governing advanced data solutions on Google Cloud Platform (GCP). This role drives the alignment of data architectures with business strategies, leveraging expertise in Google BigQuery, Dataflow, Python, and DevOps to deliver scalable, secure, and high-performance data ecosystems. The position ensures technical excellence, compliance with industry standards, and fosters innovation to support organizational objectives.

Key Responsibilities

1. Architect Enterprise-Scale Data Solutions Using Google Bigquery And Google Dataflow, Ensuring Alignment With Business Objectives And Industry Best Practices.
2. Define And Enforce Data Governance, Security, And Compliance Measures Across Gcp Data Platforms, Leveraging Devops Practices For Automation And Monitoring.
3. Lead The Design And Optimization Of Data Pipelines And Etl Processes Using Python And Dataflow, Ensuring Data Quality, Scalability, And Reliability.
4. Review And Validate Architectural Deliverables, Providing Expert Guidance To Teams On Gcp-Native Data Modeling, Performance Tuning, And Cost Optimization.
5. Drive Adoption Of New Gcp Features And Technologies, Ensuring Continuous Modernization And Relevance Of Data Solutions.
6. Mentor And Develop Technical Teams In Gcp Data Architecture, Fostering Knowledge Sharing And Upskilling To Mitigate Delivery Risks.

Skill Requirements

1. Architectural Leadership In Google Bigquery, Google Dataflow, And GcpNative Data Services.
2. Expert Proficiency In Designing And Optimizing LargeScale Data Architectures On Gcp.
3. Advanced Proficiency In Python For Data Engineering And Automation Tasks.
4. Solid Understanding Of Devops Practices For Ci/Cd, Infrastructure As Code, And Monitoring Within Gcp Environments.
5. InDepth Knowledge Of Data Governance, Security, And Compliance Frameworks Relevant To Cloud Data Platforms.
6. Excellent Ability To Translate Business Requirements Into Scalable And Secure Technical Solutions.

Other Requirements

1. Recommended: Google Cloud Professional Data Engineer Or Google Cloud Professional Cloud Architect Certification

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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