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Job Description Agile

Engine is an Inc. **** 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, Cloud

Formation) ; - 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: Mentorship, Tech

Talks, 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: Adaptable schedule with remote and office options.
Requirements - 2–3+ years of experience in growth or marketing performance roles — ideally in the B2B SaaS or tech services space.
- Understanding of the AI market landscape, with the ability to promote AI development services and translate technical capabilities into marketing messages.
- Proven experience running successful marketing campaigns and managing performance metrics.
- Familiarity with CRM and Sales Engagement Platforms (e.g.

Instantly, Reply.io, Apollo).
- Strong analytical skills with the ability to interpret data and generate actionable insights.
- Excellent organizational skills and attention to detail.
- Strong written and verbal communication skills in English.

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📌 Data Architect Id52062 (Valledupar) (Colombia)
🏢 Agileengine
📍 Colombia