🚀 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