Senior Data Platform Engineer / Data Innovation Engineer (Databricks & Azure)

Publicis Groupe Holdings B.V; Bogotá ciudad; Presencial; COP 120.000.000 - 180.000.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Flexible work-life balance

Wellness program

Paid leave & holidays

Learning opportunities

Descripción de la vacante

Publicis Sapient seeks a Senior Data Platform Engineer to evaluate and enable Azure and Databricks capabilities across the enterprise data platform. You will run proofs-of-concept, design integrations, and define standards with platform teams.

The role blends hands-on engineering with research, governance, and advisory duties to accelerate platform modernization and improve developer experience.

Formación

• Strong hands-on experience with Databricks, Unity Catalog, and data governance concepts.
• Experience with Azure Synapse Analytics and modern Azure data platform services.
• Solid background in API development, REST services, and system integrations.

Responsabilidades

• 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 leveraging APIs, platform services, and automation tooling.

Conocimientos

Databricks

Unity Catalog

Azure Synapse Analytics

API development

Python

Java

Scala

GitHub CI/CD

REST services

Data governance

Herramientas

Databricks

Azure

APIs

Descripción del empleo

Overview

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.

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.

Qualifications

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.

Additional Information

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [e-mail]

Aditional Information:

This a contractor role that goes until December 31st with the possibility of extension based on performance and project needs.

Additional information

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.