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