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
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Direct the development and deployment of enterprise data platforms and solutions that align with business strategies
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Design data frameworks such as data lakes, analytics platforms, and reporting tools using AWS, Azure, or GCP
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Work closely with business stakeholders, Solution Architects, and technical teams to translate business needs into scalable data solutions
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Provide expert guidance to clients on data strategy, governance, and operational models to enhance data ecosystems
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Lead consulting and presales initiatives by leveraging your expertise in data engineering, management, and analytics
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Analyze current data setups, identify weaknesses, and suggest improvements regarding data quality, governance, and availability
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Keep current with industry developments and emerging technologies in data management, AI/ML, and cloud platforms
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Contribute to the creation and launch of accelerators, blueprints, and open-source resources for Data Service Offerings
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Ensure compliance with SDLC standards and promote quality-driven development and CI/CD practices
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Explain complex technical concepts and data strategies to diverse audiences clearly
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Maintain strong client relationships as a trusted advisor on data technology and strategic matters
Requirements
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Minimum 5 years of experience in Data Technology Consulting, Data Architecture, or related roles in enterprise data environments
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Solid understanding of data architecture, data lifecycle, and design of enterprise data products
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Hands-on experience implementing large-scale data solutions including data lakes and analytics platforms
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Expertise with data platforms and cloud environments such as AWS, Azure, or GCP
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Proficiency in data processing technologies like Databricks or Microsoft Fabric
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Advanced coding capabilities in SQL and Python
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Experience with Master Data Management, data governance, and data quality frameworks
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Knowledge of AI/ML domains including NLP and computer vision
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Familiarity with SDLC processes, CI/CD pipelines, and emphasis on quality in software development
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Strong analytical and problem-solving skills to develop innovative data solutions
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Ability to collaborate with technical and business teams to define and deliver comprehensive data strategies
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Demonstrated success managing and delivering complex data initiatives with measurable outcomes
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Excellent organizational skills to manage multiple projects simultaneously
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Consulting skills including stakeholder management, client engagement, and clear technical communication
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Fluent English (C1) with strong verbal and written communication abilities
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Ability to keep up with industry trends, conduct market research, and apply findings strategically
