AgileEngine 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 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 ROLEWe are looking for a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.MUST HAVESBachelor'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 frameworksStrong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controlsDatabricks, Unity Catalog, Data Lake, Apache Spark, or comparableCI/CD, automated testing, environment separation, production deploymentExperience building secure APIs, MCP servers, or tools for enterprise/AI-enabled appsEnterprise identity, RBAC, service accounts, secrets, least-privilege securityNICE TO HAVESGitLab CI/CD or comparablePolicy-as-code, infrastructure-as-code, configuration-driven platformsExperience building data marketplaces, governance platforms,



or internal developer platformsFamiliarity with privacy/security/regulatory/AI governance controlsExperience in regulated or risk-sensitive environmentsWHAT YOU WILL DOArchitect secure, scalable data platform and governance automation capabilitiesBuild automated controls for metadata, ownership, lineage, data quality, access, and policy enforcementDevelop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applicationsDesign reusable, configuration-driven patterns for governed data/platform servicesImplement identity, authz, least-privilege access, auditability, and credential managementBuild automated validation, testing, deployment, and monitoring across environmentsPartner with domain experts, PMs, governance teams, and engineers on technical controlsEstablish observability for platform health, data quality, policy results, and failuresOwn production-quality code, tests, documentation, and operational guidanceMentor other engineers; guide technical direction across teamsPERKS 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.Note: The description above is a filtered, reformatted version focusing on core responsibilities and requirements.
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