Data Platform Strategy Director

EPAM Systems; México; Presencial; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certific9ca9

Descripción de la vacante

EPAM Systems is seeking a Data Technology Consultant to lead enterprise data platform design and implementation aligned with business goals. You will architect data frameworks across lakes, analytics platforms, and reporting solutions on AWS, Azure, or GCP, working with stakeholders to translate requirements into robust data architectures.

The role requires 5+ years in enterprise data projects, strong SQL/Python skills, and expertise in data governance and AI/ML trends.

Formación

• Proven experience of 5+ years as a Data Technology Consultant, Data Architect, or similar position in enterprise data projects.
• In-depth knowledge of data architecture, data lifecycle, and enterprise data product design.
• Practical experience delivering large-scale data solutions such as data lakes, analytics platforms, and reporting systems.
• Expertise with cloud data platforms including AWS, Azure, or GCP.
• Proficiency with data processing frameworks like Databricks or Microsoft Fabric.
• Strong programming skills in SQL and Python.
• Experience in Master Data Management, data governance, and data quality tools.
• Understanding of AI/ML technologies such as NLP and computer vision.
• Familiarity with SDLC, CI/CD methodologies, and quality-driven development practices.
• Analytical skills and problem-solving ability to innovate data solutions.
• Ability to work collaboratively with technical and business stakeholders to define data strategies.
• Track record of managing and delivering complex data projects with measurable business results.
• Excellent organizational capabilities for managing multiple priorities.
• Consulting skills in stakeholder management, client relations, and effective communication of technical concepts.
• Fluent English communication skills at C1 level, both written and spoken.
• Ability to stay informed about industry trends and apply insights to strategic planning.

Responsabilidades

• Lead enterprise data platform design and implementation ensuring alignment with business strategies.
• Architect data frameworks including data lakes, analytics platforms, and reporting solutions on AWS, Azure, or GCP.
• Collaborate with business units, Solution Architects, and technical teams to convert requirements into effective data architectures.
• Advise clients on data governance, strategy, and operating models to build robust data ecosystems.
• Drive consulting engagements and presales activities demonstrating expertise in data engineering and analytics.
• Assess current data environments, identify gaps, and propose improvements in data quality, governance, and availability.
• Monitor emerging industry trends, technologies in AI/ML, cloud solutions, and data management.
• Support the development and deployment of accelerators, blueprints, and open-source tools for data services.
• Ensure adherence to SDLC best practices and promote quality-focused development and CI/CD.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Build and maintain strong client partnerships as a trusted advisor in data technology and strategy.

Conocimientos

Data architecture

Data engineering

SQL

Python

Cloud platforms (AWS/Azure/GCP)

Consulting skills

Stakeholder management

English communication (C1)

Data governance

Herramientas

Databricks

Microsoft Fabric

CI/CD tooling

Descripción del empleo

EPAM Systems is seeking a Data Technology Consultant to lead enterprise data platform design and implementation aligned with business goals. You will architect data frameworks across lakes, analytics platforms, and reporting solutions on AWS, Azure, or GCP, working with stakeholders to translate requirements into robust data architectures.

The role requires 5+ years in enterprise data projects, strong SQL/Python skills, and expertise in data governance and AI/ML trends.