AWS Data Architect

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. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Deep understanding of AWS data services (S3, Glue, Redshift, Athena, EMR, Lake Formation, Kinesis). Proficiency in SQL and working knowledge of Python. Hands‑on experience with cloud security, IAM, encryption, and compliance standards. Strong stakeholder management, communication, and documentation skills. AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics – Specialty. Exposure to modern data mesh or domain‑oriented data architectures. Background in Agile or SAFe delivery environments.

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.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Deep understanding of AWS data services (S3, Glue, Redshift, Athena, EMR, Lake Formation, Kinesis). Proficiency in SQL and working knowledge of Python. Hands‑on experience with cloud security, IAM, encryption, and compliance standards. Strong stakeholder management, communication, and documentation skills. AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics – Specialty. Exposure to modern data mesh or domain‑oriented data architectures. Background in Agile or SAFe delivery environments.

Deep understanding of AWS data services (S3, Glue, Redshift, Athena, EMR, Lake Formation, Kinesis).

Proficiency in SQL and working knowledge of Python.

Hands‑on experience with cloud security, IAM, encryption, and compliance standards.

Strong stakeholder management, communication, and documentation skills.

AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics – Specialty. Exposure to modern data mesh or domain‑oriented data architectures. Background in Agile or SAFe delivery environments.

Exposure to modern data mesh or domain‑oriented data architectures.

Background in Agile or SAFe delivery environments.