Senior Data Platform Engineer - Remote & Growth

AgileEngine, LLC.; Rosarito; Hybrid; MXN 2,172,000 - 3,258,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

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 controls for metadata, lineage, data quality, access, and policy enforcement, while delivering secure APIs and MCP tools for enterprise apps.

You will mentor engineers and establish patterns for governed data services, ensuring auditability and least-privilege security across environments.

Qualifications

• Bachelor’s in CS/Data Engineering/Software Engineering or related STEM required 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.
• Hands-on with Databricks, Unity Catalog, Data Lake, Apache Spark or comparable.
• Experience with CI/CD, automated testing, environment separation, and 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

Cloud data platforms

Data catalogs

Metadata & lineage

Data quality & access controls

Databricks

Apache Spark

CI/CD & testing

Secure APIs & MCP servers

RBAC & least privilege

Education

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

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

GitLab (CI/CD)

Job description

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 controls for metadata, lineage, data quality, access, and policy enforcement, while delivering secure APIs and MCP tools for enterprise apps.

You will mentor engineers and establish patterns for governed data services, ensuring auditability and least-privilege security across environments.