The Role
Architects and builds secure, scalable data platforms and governance automation. Develops metadata, lineage, data quality, access-control, policy-enforcement, APIs, and MCP integrations. Implements identity, least-privilege security, auditability, testing, deployment, monitoring, and observability across environments. Partners with governance and engineering teams, owns production-quality documentation and operational guidance, and mentors engineers while guiding technical direction.
Summary Generated by Built In
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.
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related STEM field, or a bachelor's degree plus a master's or higher in STEM
- 5+ years of software or data engineering experience, or equivalent demonstrated skill
- 5+ years of experience with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks
- Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, and access controls
- Experience with Databricks, Unity Catalog, data lakes, Apache Spark, or comparable technologies
- Experience with CI/CD, automated testing, environment separation, and production deployment
- Experience building secure APIs, MCP servers, or tools for enterprise or AI-enabled applications
- Experience with enterprise identity, RBAC, service accounts, secrets, and least-privilege security
- Full lifecycle experience from architecture through development, deployment, and production support
- Upper-intermediate English proficiency
- Experience with GitLab CI/CD or comparable tools
- Experience with policy-as-code, infrastructure-as-code, or configuration-driven platforms
- Experience building data marketplaces, governance platforms, or internal developer platforms
- Familiarity with privacy, security, regulatory, or AI governance controls
- Experience in regulated or risk-sensitive environments
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
