Senior Data Platform & Governance Engineer — Remote

AgileEngine, LLC.; Metropolitana; Hybrid; COP 388,387,000 - 582,581,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls. You will design and implement automated controls for metadata, lineage, data quality, access, and policy enforcement, and develop secure APIs and tooling for enterprise AI-enabled apps.

You will partner with governance teams and engineers to establish observability, run automated validation, and drive secure, least-privilege data access across

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

Python

SQL

distributed processing

data modeling

modern data engineering frameworks

cloud data platforms

data catalogs

metadata

lineage

data quality

access controls

Databricks

Unity Catalog

Data Lake

Apache Spark

CI/CD

testing

production deployment

secure APIs

MCP servers

identity

RBAC

secrets

Education

Bachelor's in CS/Data Engineering/Software Engineering/related STEM

Bachelor's + Master's/higher in STEM

Tools

GitLab CI/CD

policy-as-code

infrastructure-as-code

Job description

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls. You will design and implement automated controls for metadata, lineage, data quality, access, and policy enforcement, and develop secure APIs and tooling for enterprise AI-enabled apps.

You will partner with governance teams and engineers to establish observability, run automated validation, and drive secure, least-privilege data access across