Job Description

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

We are looking for a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.

MUST HAVES

- Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)

- 5+ years software/data engineering experience (or equivalent demonstrated skill)

- 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks

- Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls

- Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable

- CI/CD, automated testing, environment separation, production deployment

- Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps

- Enterprise identity, RBAC, service accounts, secrets, least-privilege security

- Full lifecycle experience: architecture → development → deployment → production support

- Upper-intermediate English level.

NICE TO HAVES

- GitLab CI/CD or comparable

- Policy-as-code, infrastructure-as-code, configuration-driven platforms

- Experience building data marketplaces, governance platforms, or internal developer platforms

- Familiarity with privacy/security/regulatory/AI governance controls

- Experience in regulated or risk-sensitive environments

WHAT YOU WILL DO

- Architect secure, scalable data platform and governance automation capabilities





- Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement

- Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications

- Design reusable, configuration-driven patterns for governed data/platform services

- Implement identity, authz, least-privilege access, auditability, and credential management

- Build automated validation, testing, deployment, and monitoring across environments

- Partner with domain experts, PMs, governance teams, and engineers on technical controls

- Establish observability for platform health, data quality, policy results, and failures

- Own production-quality code, tests, documentation, and operational guidance

- Mentor other engineers; guide technical direction across teams

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: Adaptable schedule with remote and office options.

Requirements
Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM) 5+ years software/data engineering experience (or equivalent demonstrated skill) 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable CI/CD, automated testing, environment separation, production deployment Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps Enterprise identity, RBAC, service accounts, secrets, least-privilege security Full lifecycle experience: architecture → development → deployment → production support

📌 Senior Data Platform Engineer (Santiago del Estero)
🏢 AgileEngine
📍 Santiago del Estero