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