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AWS Data Architect
Tata Consultancy Services
Kolkata, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
AWSTerraformCloudFormationCI/CD
Free
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AWSTerraformCloudFormation
Role Overview
We are looking for a highly skilled AWS Data Architect to design, govern, and evolve scalable, secure, and cost‑efficient data architectures on AWS. The role focuses on defining data strategy, reference architectures, and best practices to enable analytics, reporting, and advanced data use cases across the enterprise.
Define and own end‑to‑end data architecture on AWS, including data ingestion, storage, processing, analytics, and consumption layers. Establish data lake, data warehouse, and lakehouse architectures aligned with business and analytical needs. Collaborate with business stakeholders, product owners, and domain teams to translate requirements into scalable data solutions. Guide teams on data modeling approaches (dimensional, normalized, event‑driven, domain‑oriented models). Optimize performance, scalability, and cost using AWS best practices. Partner with DevOps, Cloud, and Platform teams on CI/CD, IaC (Terraform/CloudFormation), and observability.
Establish data lake, data warehouse, and lakehouse architectures aligned with business and analytical needs.
Collaborate with business stakeholders, product owners, and domain teams to translate requirements into scalable data solutions.
Guide teams on data modeling approaches (dimensional, normalized, event‑driven, domain‑oriented models).
Optimize performance, scalability, and cost using AWS best practices.
Partner with DevOps, Cloud, and Platform teams on CI/CD, IaC (Terraform/CloudFormation), and observability.
Key Skills for This Role
AWSTerraformCloudFormationCI/CD
Full Job Posting
Role Summary
We are looking for a highly skilled AWS Data Architect to design, govern, and evolve scalable, secure, and cost‑efficient data architectures on AWS. The role focuses on defining data strategy, reference architectures, and best practices to enable analytics, reporting, and advanced data use cases across the enterprise.
Define and own end‑to‑end data architecture on AWS, including data ingestion, storage, processing, analytics, and consumption layers. Establish data lake, data warehouse, and lakehouse architectures aligned with business and analytical needs. Collaborate with business stakeholders, product owners, and domain teams to translate requirements into scalable data solutions. Guide teams on data modeling approaches (dimensional, normalized, event‑driven, domain‑oriented models). Optimize performance, scalability, and cost using AWS best practices. Partner with DevOps, Cloud, and Platform teams on CI/CD, IaC (Terraform/CloudFormation), and observability.
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