About this role
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
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Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
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5+ years software/data engineering experience (or equivalent demonstrated skill)
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5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks
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Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls
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Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable
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CI/CD, automated testing, environment separation, production deployment
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Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps
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Enterprise identity, RBAC, service accounts, secrets, least-privilege security
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Full lifecycle experience: architecture → development → deployment → production support
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Upper-intermediate English level.
NICE TO HAVES
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GitLab CI/CD or comparable
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Policy-as-code, infrastructure-as-code, configuration-driven platforms
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Experience building data marketplaces, governance platforms, or internal developer platforms
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Familiarity with privacy/security/regulatory/AI governance controls
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Experience in regulated or risk-sensitive environments
WHAT YOU WILL DO
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Architect secure, scalable data platform and governance automation capabilities
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Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement
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Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications
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Design reusable, configuration-driven patterns for governed data/platform services
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Implement identity, authz, least-privilege access, auditability, and credential management
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Build automated validation, testing, deployment, and monitoring across environments
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Partner with domain experts, PMs, governance teams, and engineers on technical controls
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Establish observability for platform health, data quality, policy results, and failures
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Own production-quality code, tests, documentation, and operational guidance
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Mentor other engineers; guide technical direction across teams
PERKS AND BENEFITS
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Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
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Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
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Exciting projects: Modern solutions with Fortune 500 and top product companies.
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Flextime: Flexible schedule with remote and office options.