Senior Data Platform Engineer ID92538
AgileEngine
- Location
- Onsite (Brasília, Distrito Federal)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the role
AgileEngine, an Inc. 5000 ranked software consultancy, is seeking a Senior Data Platform Engineer to architect secure, scalable data platform capabilities and automate governance controls. The role focuses on building robust APIs, integrations, and observability for enterprise and AI-enabled applications.
Skills
Python
SQL
Data Engineering
Distributed processing
Data modeling
Databricks
Unity Catalog
Apache Spark
CI/CD
Automated testing
API development
RBAC
Data governance
Metadata management
Cloud data platforms
Infrastructure-as-code
Perks
- Flexible schedule
- Remote work
- Education budget
- Fitness budget
- Team activity budget
- Mentorship
- TechTalks
Full job details
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.