Data Technology Consultant

Description

Summary: Seeking a Data Technology Consultant to lead the strategy and implementation of enterprise data platforms, advising clients on data architecture and cloud frameworks. Highlights: 1. Lead strategy and implementation of enterprise data platforms 2. Advise clients on data architecture and cloud-based frameworks 3. Drive innovative data solutions with technical depth and business insight 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