job specification

🚀 We’re Hiring: AWS Data Architect (Glue, Spark & Redshift) – 100% Remote

We are looking for an experienced AWS Data Architect to design and build scalable data platforms in a cloud-first environment. This role is ideal for professionals with strong expertise in AWS data services, data architecture, and large-scale data processing .

📍 Location: 100% Remote

🌎 Language Requirement: Fluent English

🏦 Industry Experience: Financial Services preferred

Key Responsibilities

• Design and implement end-to-end data architectures on AWS aligned with enterprise and regulatory standards.
• Develop, optimize, and maintain ETL/ELT pipelines using AWS Glue and Apache Spark .
• Architect and manage data warehousing solutions using Amazon Redshift .
• Ensure data quality, reliability, performance, and governance across data platforms.
• Collaborate with data engineers, analysts, and business teams to translate data requirements into technical solutions.
• Implement best practices for security, monitoring, scalability, and cost efficiency in AWS environments.
• Troubleshoot and resolve complex data processing and performance issues .
• Stay current with AWS services and emerging data engineering best practices .

Required Experience

• 5+ years of experience in data engineering and cloud architecture, with strong expertise in AWS environments .
• Hands-on experience with AWS Glue, Apache Spark, and Amazon Redshift .
• Strong knowledge of data lake and data warehouse architectures in AWS .
• Experience designing and implementing scalable ETL/ELT pipelines for large volumes of structured and semi-structured data.
• Proficiency in SQL and Python for data processing and automation.
• Solid understanding of AWS security, IAM, networking, monitoring, and cost optimization .
• Experience working with highly sensitive data in regulated environments , ideally within Financial Services .
• Fluent English (mandatory).
• Strong analytical, problem-solving, and communication skills .

💡 If you are passionate about building modern, scalable data platforms on AWS , we would love to hear from you.

📩 Feel free to apply or share with your network! Send your resume to