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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 application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.Why Join UsIf 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 RoleAs 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 DoLead 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 HAVES8+ 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 datamodeling (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 HAVESPractical experience and certification with Boomi AtomSphere.Perks And BenefitsProfessional 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: Versátil schedule with remote and office options.#J-18808-Ljbffr

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📌 Data Architect Id52062 (Campo de La Cruz)
🏢 Agileengine
📍 Campo de La Cruz