Director - Data Technology Consulting (Godoy Cruz)

EPAM Systems Ver todas las vacantes

  • Godoy Cruz, Mendoza
  • Permanente
  • Tiempo completo
  • Hace 15 horas
We are hiring a Data Technology Consultant to lead enterprise data platform design and implementation aligned with business goals.
This role demands deep knowledge of data frameworks, cloud technologies, and strategic consulting to guide clients effectively. Join our team to influence data strategy and deliver transformative projects for our clients.
ResponsibilitiesLead 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 strategyRequirementsProven 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 Data

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