Data Technology Consulting
EPAM Systems
IT
Colombia · Amp. Gabriel Hernández, Ciudad de México, CDMX, Mexico · Remote
Posted on Jan 10, 2026
Responsibilities
- Lead the design and implementation of enterprise data platforms and solutions aligned with business strategy
- Define and architect data frameworks, including data lakes, analytics platforms and reporting solutions using AWS, Azure or GCP
- Collaborate with business stakeholders, Solution Architects and technical teams to translate requirements into scalable data architectures
- Advise clients on data strategy, governance and operating models to build efficient data ecosystems
- Drive consulting engagements and presales activities by demonstrating expertise in data engineering, management and analytics
- Conduct assessments of current data environments, identify gaps and recommend improvements in data quality, availability and governance
- Stay abreast of industry trends, emerging technologies and best practices in data management, AI/ML and cloud solutions
- Support the development and rollout of accelerators, blueprints and open-source tools for Data Service Offerings
- Ensure adherence to SDLC best practices, promoting quality-focused code development and CI/CD
- Communicate complex technical concepts and strategies clearly to technical and non-technical audiences
- Build and maintain strong client relationships as a trusted advisor in data technology and strategy
Requirements
- 5+ years of working experience as a Data Technology Consultant, Data Architect or similar role in enterprise data projects
- Knowledge of data architecture, data lifecycle and enterprise data product design
- Hands-on experience delivering large-scale data solutions, including data lakes, analytics platforms and reporting systems
- Skills in Data Platforms and cloud technologies such as AWS, Azure or GCP
- Proficiency in data processing frameworks like Databricks or MS Fabric
- Strong coding skills in SQL and Python
- Background in Master Data Management, data governance and data quality tools
- Familiarity with AI/ML technologies such as NLP or computer vision
- Understanding of SDLC, CI/CD and quality-focused development practices
- Analytical and problem-solving skills to design and implement innovative data solutions
- Ability to collaborate with technical and business stakeholders to define and deliver data strategies
- Track record of managing and delivering complex data projects with measurable business outcomes
- Organizational skills to manage multiple priorities and projects simultaneously
- Consulting skills in stakeholder management, client relationship building and clear communication of technical concepts
- Fluent in English (C1 level) with excellent written and verbal communication skills
- Capability to stay current with industry trends, conduct market and competitor research and apply insights to strategic planning
We offer/Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn