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GCP Data Architect (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingArchitect enterprise-scale data solutions using BigQuery and Dataflow
Define and enforce data governance, security and compliance measures on GCP
Lead design and optimization of Python and Dataflow data pipelines and ETL
Review architectural deliverables and guide teams on modeling, tuning and cost
Mentor and develop technical teams in GCP data architecture
From the employer’s posting
Architect Enterprise-Scale Data Solutions Using Google Bigquery And Google Dataflow
Define And Enforce Data Governance, Security, And Compliance Measures Across Gcp Data Platforms
Lead The Design And Optimization Of Data Pipelines And Etl Processes Using Python And Dataflow
Review And Validate Architectural Deliverables, Providing Expert Guidance To Teams On Gcp-Native Data Modeling, Performance Tuning, And Cost Optimization
Mentor And Develop Technical Teams In Gcp Data Architecture
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
HCL Technologies is hiring
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- BigQuery
- GCP
Where the posting names them
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
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
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
Other Requirements 1. Recommended: Google Cloud Professional Data Engineer Or Google Cloud Professional Cloud Architect Certification
Your next step
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Has HCL Technologies posted this job before?
Yes. We’ve followed 8 other GCP Data Architect (IN) jobs there since November 2026. All 8 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About HCL Technologies
- People
- About 20,206 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as HCLTECH.NS.
- H-1B visas
- 754 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 120 people. The latest was filed March 27, 2026.State WARN notices
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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.
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
Source details
Source notes
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- Pay
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- Location & working pattern
India
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