Data Technology Consultant

We are seeking a Data Technology Consultant to lead the strategy and implementation of enterprise data platforms that support business objectives and growth.

This role involves advising clients on data architecture and cloud-based frameworks while steering consulting projects to success. If you excel at combining technical depth with business insight, this position offers an excellent opportunity to drive innovative data solutions.

Responsibilities

• Direct the development and deployment of enterprise data platforms and solutions that align with business strategies
• Design data frameworks such as data lakes, analytics platforms, and reporting tools using AWS, Azure, or GCP
• Work closely with business stakeholders, Solution Architects, and technical teams to translate business needs into scalable data solutions
• Provide expert guidance to clients on data strategy, governance, and operational models to enhance data ecosystems
• Lead consulting and presales initiatives by leveraging your expertise in data engineering, management, and analytics
• Analyze current data setups, identify weaknesses, and suggest improvements regarding data quality, governance, and availability
• Keep current with industry developments and emerging technologies in data management, AI/ML, and cloud platforms
• Contribute to the creation and launch of accelerators, blueprints, and open-source resources for Data Service Offerings
• Ensure compliance with SDLC standards and promote quality-driven development and CI/CD practices
• Explain complex technical concepts and data strategies to diverse audiences clearly
• Maintain strong client relationships as a trusted advisor on data technology and strategic matters

Requirements

• Minimum 5 years of experience in Data Technology Consulting, Data Architecture, or related roles in enterprise data environments
• Solid understanding of data architecture, data lifecycle, and design of enterprise data products
• Hands-on experience implementing large-scale data solutions including data lakes and analytics platforms
• Expertise with data platforms and cloud environments such as AWS, Azure, or GCP
• Proficiency in data processing technologies like Databricks or Microsoft Fabric
• Advanced coding capabilities in SQL and Python
• Experience with Master Data Management, data governance, and data quality frameworks
• Knowledge of AI/ML domains including NLP and computer vision
• Familiarity with SDLC processes, CI/CD pipelines, and emphasis on quality in software development
• Strong analytical and problem-solving skills to develop innovative data solutions
• Ability to collaborate with technical and business teams to define and deliver comprehensive data strategies
• Demonstrated success managing and delivering complex data initiatives with measurable outcomes
• Excellent organizational skills to manage multiple projects simultaneously
• Consulting skills including stakeholder management, client engagement, and clear technical communication
• Fluent English (C1) with strong verbal and written communication abilities
• Ability to keep up with industry trends, conduct market research, and apply findings strategically

We offer

• 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.