Data Architect ID52062

Description

Summary: As a Cloud Data Architect, you will lead the design and implementation of a next-generation AWS data platform, building a unified Medallion Lakehouse architecture for the entire organization. Highlights: 1. Lead design and implementation of enterprise data architecture 2. Greenfield opportunity shaping ingestion patterns and data models 3. Collaborate with engineering and business teams for scalable data solutions **About us** 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. 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. **Perks and benefits** * **Professional growth:** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. * **Competitive compensation:** We match your ever\-growing skills, talent, and contributions with competitive USD\-based compensation and budgets for education, fitness, and team activities. * **A selection of exciting projects:** Join projects with modern solutions development and top\-tier clients that include Fortune 500 enterprises and leading product brands. * **Flextime:** Tailor your schedule for an optimal work\-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive. Job Type: Full\-time Work Location: Remote