AWS Data Architect

Walk in at Mumbai

Date 25July 26

Job Description

• Define and own end‑to‑end data architecture on AWS, including data ingestion, storage, processing, analytics, and consumption layers.
• Design enterprise‑grade data platforms using AWS services such as S3, Glue, Redshift, Athena, Lake Formation, EMR, Kinesis, DynamoDB, and RDS.
• Establish data lake, data warehouse, and lakehouse architectures aligned with business and analytical needs.
• Develop architectural standards, patterns, and reference architectures for data engineering teams.
• Collaborate with business stakeholders, product owners, and domain teams to translate requirements into scalable data solutions.
• Ensure data governance, security, privacy, and compliance (IAM, encryption, data access control, auditing).
• Guide teams on data modeling approaches (dimensional, normalized, event‑driven, domain‑oriented models).
• Review and approve solution designs, ensuring alignment with enterprise architecture principles.
• Optimize performance, scalability, and cost using AWS best practices.
• Lead architecture reviews, technical decision‑making, and mentoring of data engineers.
• Partner with DevOps, Cloud, and Platform teams on CI/CD, IaC (Terraform/CloudFormation), and observability.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Strong experience designing data architectures on AWS.
• Deep understanding of AWS data services (S3, Glue, Redshift, Athena, EMR, Lake Formation, Kinesis).
• Strong knowledge of data warehousing, big data, and distributed data processing architectures.
• Proficiency in SQL and working knowledge of Python.
• Experience with data modeling, metadata management, and data governance frameworks.
• Hands‑on experience with cloud security, IAM, encryption, and compliance standards.
• Experience with CI/CD and infrastructure‑as‑code tools.
• Strong stakeholder management, communication, and documentation skills.

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics – Specialty.
• Experience with streaming and real‑time data architectures.
• Exposure to modern data mesh or domain‑oriented data architectures.
• Experience supporting advanced analytics, BI, or machine learning platforms.
• Background in Agile or SAFe delivery environments.