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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