Job Summary:

We are looking for a highly skilled AWS Data Architect to design and implement scalable, secure, and high-performing data architecture solutions on AWS. The ideal candidate will have hands-on experience in building data lakes, data warehouses, and data pipelines, along with a solid understanding of data governance and cloud security best practices.

Roles and Responsibilities:

- Design and implement data architecture solutions on AWS using services such as S3, Redshift, Glue, Lake Formation, Athena, and Lambda.

- Develop scalable ETL/ELT workflows and data pipelines using AWS Glue, Apache Spark, or AWS Data Pipeline.

- Define and implement data governance, security, and compliance strategies, including IAM policies, encryption, and data cataloging.

- Create and manage data lakes and data warehouses that are scalable, cost-effective, and secure.

- Collaborate with data engineers, analysts, and business stakeholders to develop robust data models and reporting solutions.

- Evaluate and recommend tools, technologies,



and best practices to optimize data architecture and ensure high-quality solutions.

- Ensure data quality, performance tuning, and optimization for large-scale data storage and processing

Required Skills and Qualifications:

- Proven experience in AWS data services such as S3, Redshift, Glue, etc.

- Strong knowledge of data modeling, data warehousing, and big data architecture.

- Hands-on experience with ETL/ELT tools and data pipeline frameworks.

- Positive understanding of data security and compliance in cloud environments.

- Excellent problem-solving skills and ability to work collaboratively with cross-functional teams.

- Strong verbal and written communication skills.

Preferred Skills:

- AWS Certified Data Analytics – Specialty or AWS Solutions Architect Certification.

- Experience in performance tuning and optimizing large datasets.

📌 Data Architect - AWS (Hyderabad)
🏢 Qentelli Solutions
📍 Hyderabad