Senior Data Platform Engineer

Mps Group; Xico; On-site; MXN 900,000 - 1,400,000; Full time

Job summary

Mps Group is seeking a Senior Data Platform Engineer to drive evaluation, validation, and adoption of Microsoft Azure and Databricks capabilities across the enterprise data platform ecosystem.

The role combines hands-on engineering, platform integration, and advisory responsibilities, working with platform teams to define standards, architecture, and governance models. You will lead POCs, build reusable frameworks, and document findings for stakeholders.

Qualifications

• Hands-on Databricks, Unity Catalog, and data governance concepts.
• Experience with Azure Synapse Analytics and modern Azure data platform services.
• Proficiency in API development, REST services, and system integrations.
• Programming experience in Python, Java, or Scala.
• Understanding of cloud architecture, CI/CD practices, and Git-based workflows.
• Experience evaluating pilots, technical evaluations, or architectural assessments.
• Strong ability to communicate findings, risks, and recommendations to technical stakeholders.

Responsibilities

• Evaluate new Microsoft Azure and Databricks platform capabilities for enterprise adoption.
• Design and execute POCs to assess scalability, security, governance, operability, and business value.
• Build integrations and reusable frameworks using APIs, platform services, and automation tooling.
• Collaborate with platform engineering teams to define technical standards and adoption recommendations.
• Analyze capabilities related to data governance, observability, AI-assisted operations, and platform automation.
• Develop technical documentation, decision frameworks, and architecture recommendations for stakeholders.
• Contribute to platform modernization by improving operational efficiency and developer experience.
• Leverage AI-assisted tools such as GitHub Copilot to accelerate experimentation.

Skills

Databricks

Azure Synapse Analytics

REST APIs

Python

Java

Scala

CI/CD

GitHub

Git

Cloud architecture

Platform automation

Data governance concepts

Data observability

AI-assisted operations

Technical documentation

Strong communication

Tools

Databricks Unity Catalog

Azure Synapse Analytics

REST services

Job description

We\'re seeking a Senior Data Platform Engineer to join a team responsible for evaluating, validating, and enabling the adoption of emerging Microsoft and Databricks capabilities across the enterprise data platform ecosystem. This team serves as the technical governance and innovation function for platform engineering. New platform features, services, and tooling must be assessed, tested, and validated through proof-of-concepts before enterprise adoption. You will partner closely with platform teams to evaluate technologies such as Databricks Unity Catalog, Data Observability platforms, Databricks Genie, Zero Ops capabilities, and other emerging data platform innovations. The role combines hands-on engineering, platform integration, technical research, and advisory responsibilities.

Your Impact

• Evaluate new Microsoft Azure and Databricks platform capabilities and determine their suitability for enterprise adoption.
• Design and execute proof-of-concepts (POCs) to assess scalability, security, governance, operability, and business value.
• Build integrations and reusable frameworks leveraging APIs, platform services, and automation tooling.
• Collaborate with platform engineering teams to define technical standards, best practices, and adoption recommendations.
• Analyze emerging capabilities related to data governance, observability, AI-assisted operations, and platform automation.
• Develop technical documentation, decision frameworks, and architecture recommendations for stakeholders.
• Contribute to platform modernization initiatives by identifying opportunities to improve operational efficiency, reliability, and developer experience.
• Leverage AI-assisted engineering tools such as GitHub Copilot to accelerate experimentation and platform development.

Skills & Experience

• Strong hands-on experience with Databricks, including Unity Catalog and data governance concepts.
• Experience working with Azure Synapse Analytics and modern Azure data platform services.
• Solid background in API development, REST services, and system integrations.
• Experience integrating enterprise platforms, data services, and cloud-native solutions.
• Proficiency in one or more programming languages such as Python, Java, or Scala.
• Understanding of cloud architecture, automation, CI/CD practices, and source control using GitHub.
• Experience working in engineering teams conducting technical evaluations, pilots, or architectural assessments.
• Strong communication skills with the ability to present findings, risks, and recommendations to technical stakeholders.

Set Yourself Apart With

• Experience evaluating or implementing data observability platforms.
• Knowledge of Databricks Genie, AI-assisted analytics, or conversational data capabilities.
• Exposure to Zero Ops, platform automation, or self-service operational models.
• Experience with enterprise data governance, lineage, metadata management, and platform controls.
• Familiarity with AI-assisted software engineering using GitHub Copilot or similar coding assistants.
• Experience defining enterprise technology standards, governance frameworks, or platform approval processes.