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 : Flexible schedule with remote and office options.