AWS Senior Data Architect
Bengaluru · Staff/Principal
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HIGH
Our tracked job listings for HCLTech show strong recent activity.
First 72 hours
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Job description
Job Summary
Key Responsibilities
2. Define And Implement Data Warehousing Solutions Leveraging Amazon Redshift And Snowflake, Optimizing For Performance, Cost, And Reliability.
3. Lead The Adoption Of Devops Practices For Data Engineering By Automating Deployment, Monitoring, And Ci/Cd Pipelines For Aws-Based Data Platforms.
4. Provide Architectural Governance By Reviewing And Validating Solution Designs, Ensuring Compliance With Organizational And Industry Standards.
5. Guide The Team In Developing Advanced Data Transformation Scripts Using Python, Enabling Complex Data Processing And Analytics Use Cases.
6. Drive Technology Innovation By Evaluating Emerging Aws Services And Data Engineering Tools, Recommending Adoption To Enhance Solution Capabilities.
7. Mentor And Upskill Team Members In Amazon Glue, Redshift, Snowflake, And Python, Fostering A Culture Of Continuous Learning And Technical Excellence.
8. Represent The Organization By Submitting Whitepapers, Participating In Industry Forums, And Contributing To Patent Filings In The Data Architecture Domain.
Skill Requirements
2. Advanced Proficiency In Amazon Redshift And Snowflake For Data Warehousing And Analytics.
3. ExpertLevel Skills In Python For Data Engineering And Automation Tasks.
4. InDepth Experience With Devops Practices And Tools (E.G., Aws Codepipeline, Cloudformation, Terraform) For Data Platform Automation.
5. Solid Understanding Of Data Governance, Security, And Compliance Within Aws Environments.
6. Excellent Ability To Translate Business Requirements Into Scalable, CloudNative Data Architectures.
Other Requirements
2. Aws Certified Data Analytics � Specialty (Optional But Valuable)
3. Snowflake Snowpro Advanced Architect Certification (Optional But Valuable
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