Senior Data Platform Engineer ID92538
AgileEngine, LLC.
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Benefits offered by this job
Job summary
AgileEngine, LLC. is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls. You will design and implement automated metadata, lineage, data quality, and access controls, while developing secure APIs and enterprise tools for AI-enabled applications.
You will mentor engineers, collaborate with governance teams, and drive observability and reliability across environments, delivering production-quality code and documentation.
Qualifications
- Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
- 5+ years software/data engineering experience
- 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
Responsibilities
- 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
Skills
Education
Tools
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.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.
- 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
- 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
- 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
- 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.
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