Data Architect ID52062
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Cloud Data Architect, you’ll lead the design of a next-generation AWS data platform from the ground up — building the Medallion Lakehouse architecture that will become the unified data foundation for the entire organization. This is a greenfield opportunity for a senior architect who wants genuine ownership: shaping ingestion patterns, governance frameworks, and scalable data models across S3, Redshift, Glue, dbt, and Airflow. WHAT YOU WILL DO - Lead design and implementation of enterprise data architecture following Medallion framework; - Develop data models, pipelines, and schemas for data unification, governance, and analytics; - Build and optimize AWS-based data infrastructure using core services; - Implement Lakehouse architecture integrating structured and unstructured data; - Ensure performance, scalability, and cost efficiency of the data ecosystem; - Design and oversee data ingestion from multiple on-prem and cloud systems; - Define integration strategies using batch, streaming, and event-driven patterns; - Collaborate with governance teams to enforce data security, access control, and quality; - Work with engineering and business teams to deliver scalable data solutions; - Support data platform modernization initiatives and roadmap execution; - Document architecture, standards, and data flows for diverse audiences. MUST HAVES - 8+ years of experience in data engineering or architecture; - 5+ years of experience working with AWS data ecosystems; - Expertise with AWS core services (S3, Glue, Redshift, Lambda, Athena, Kinesis, EMR); - Experience with data integration tools (dbt, Step Functions, Airflow, AWS DMS, Kafka, Kinesis); - Strong knowledge of data modeling (Medallion/Lakehouse, dimensional modeling, Data Vault, Kimball); - Experience with infrastructure as code (Terraform, CloudFormation); - Proficiency in Python, SQL, and Spark (PySpark) for ETL; - Strong understanding of data governance, quality, and security; - Experience with enterprise-scale architecture and data integration; - Upper-intermediate English level. NICE TO HAVES - Practical experience and certification with Boomi AtomSphere. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options. Apply To This Job