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Snowflake Data Architect (IN)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingArchitect modern data platforms on Snowflake across AWS, Azure or GCP
Lead data modeling strategy across dimensional, data vault and lakehouse patterns
Optimize cost, performance and scalability of Snowflake workloads
Ensure data governance, security and compliance across platforms
From the employer’s posting
Architect and design modern data platforms using Snowflake on cloud (AWS/Azure/GCP).
Lead data modeling strategy (dimensional, data vault, and lakehouse patterns).
Optimize cost, performance, and scalability of Snowflake workloads.
Ensure data governance, security, and compliance across platforms.
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
- SQL
- AWS
- Azure
- dbt
- GCP
- Kafka
- Snowflake
Where the posting names them
Job Summary We are seeking a seasoned Snowflake Data Architect to lead the design and implementation of modern, scalable data platforms. The role demands strong expertise across Snowflake, DBT, Python, MS SQL, and cloud data engineering, along with exposure to Snowflake Cortex and AI-driven data capabilities. You will drive architecture decisions, mentor teams, and enable data-driven transformation across the enterprise. Key Responsibilities
- Architect and design modern data platforms using Snowflake on cloud (AWS/Azure/GCP). - Define and implement end-to-end data pipelines utilizing DBT, Python, and SQL-based transformations. - Lead data modeling strategy (dimensional, data vault, and lakehouse patterns).
- DBT (Data Build Tool) – modeling, testing, deployment - Python – data processing, automation - MS SQL / Advanced SQL – query optimization, warehousing
- Python – data processing, automation - MS SQL / Advanced SQL – query optimization, warehousing - Solid foundation in Cloud Data Engineering (AWS/Azure/GCP).
Key Responsibilities - Architect and design modern data platforms using Snowflake on cloud (AWS/Azure/GCP). - Define and implement end-to-end data pipelines utilizing DBT, Python, and SQL-based transformations.
- MS SQL / Advanced SQL – query optimization, warehousing - Solid foundation in Cloud Data Engineering (AWS/Azure/GCP). - Experience in building modern data platforms (lakehouse / data warehouse architectures).
- Hands-on expertise in: - DBT (Data Build Tool) – modeling, testing, deployment - Python – data processing, automation
Other Requirements 1. Snowflake Snowpro Advanced Architect Certification (Optional But Valuable) 2. Dbt Certified Developer (Optional But Valuable
- Experience with data governance tools (Collibra, Alation). - Exposure to real-time data streaming (Kafka, etc.). - Certifications in Snowflake / Cloud platforms.
- Drive cloud data engineering best practices, including ingestion, transformation, orchestration, and performance optimization. - Leverage Snowflake Cortex / AI capabilities for advanced analytics and intelligent data solutions. - Ensure data governance, security, and compliance across platforms.
- Mentor and guide engineering teams; ensure delivery quality and adherence to standards. - Optimize cost, performance, and scalability of Snowflake workloads. Skill Requirements
Required Skills & Experience - Strong experience in Snowflake Architecture & Implementation. - Hands-on expertise in:
- Experience in building modern data platforms (lakehouse / data warehouse architectures). - Exposure to Snowflake Cortex / AI/ML integration is highly preferred. - Strong understanding of ETL/ELT frameworks, orchestration tools, and CI/CD pipelines.
- Exposure to real-time data streaming (Kafka, etc.). - Certifications in Snowflake / Cloud platforms. Other Requirements
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 12 other Snowflake Data Architect (IN) jobs there since November 2026. All 12 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 Engineer roles
New Data Engineer postings at the employers we follow are up 7% 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 Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Summary
We are seeking a seasoned Snowflake Data Architect to lead the design and implementation of modern, scalable data platforms. The role demands strong expertise across Snowflake, DBT, Python, MS SQL, and cloud data engineering, along with exposure to Snowflake Cortex and AI-driven data capabilities. You will drive architecture decisions, mentor teams, and enable data-driven transformation across the enterprise.
Key Responsibilities
Key Responsibilities
- Architect and design modern data platforms using Snowflake on cloud (AWS/Azure/GCP).
- Define and implement end-to-end data pipelines utilizing DBT, Python, and SQL-based transformations.
- Lead data modeling strategy (dimensional, data vault, and lakehouse patterns).
- Drive cloud data engineering best practices, including ingestion, transformation, orchestration, and performance optimization.
- Leverage Snowflake Cortex / AI capabilities for advanced analytics and intelligent data solutions.
- Ensure data governance, security, and compliance across platforms.
- Collaborate with business stakeholders to translate requirements into scalable data solutions.
- Mentor and guide engineering teams; ensure delivery quality and adherence to standards.
- Optimize cost, performance, and scalability of Snowflake workloads.
Skill Requirements
Required Skills & Experience
- Strong experience in Snowflake Architecture & Implementation.
- Hands-on expertise in:
- DBT (Data Build Tool) – modeling, testing, deployment
- Python – data processing, automation
- MS SQL / Advanced SQL – query optimization, warehousing
- Solid foundation in Cloud Data Engineering (AWS/Azure/GCP).
- Experience in building modern data platforms (lakehouse / data warehouse architectures).
- Exposure to Snowflake Cortex / AI/ML integration is highly preferred.
- Strong understanding of ETL/ELT frameworks, orchestration tools, and CI/CD pipelines.
- Expertise in data modeling, partitioning, clustering, and performance tuning.
Leadership & Stakeholder Skills
- Proven ability to lead architecture discussions and design reviews.
- Strong stakeholder management and business communication skills.
- Experience in mentoring teams and driving technical excellence.
- Ability to work in a fast-paced, outcome-driven environment.
Nice to Have
- Experience with data governance tools (Collibra, Alation).
- Exposure to real-time data streaming (Kafka, etc.).
- Certifications in Snowflake / Cloud platforms.
Other Requirements
1. Snowflake Snowpro Advanced Architect Certification (Optional But Valuable)
2. Dbt Certified Developer (Optional But Valuable
Source details
Source notes
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- Pay
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- Location & working pattern
India
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- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.