We are looking for a Data Technology Consultant to spearhead the creation and deployment of enterprise data platforms and solutions that align with organizational goals and business strategies.

You will guide clients through complex data architecture challenges and lead consulting initiatives that drive impactful business outcomes. Join us to shape the future of enterprise data solutions and provide strategic advisory services to our clients.

Responsibilities

• Oversee the design and deployment of enterprise data platforms and solutions in alignment with business objectives
• Architect data frameworks including data lakes, analytics platforms, and reporting systems leveraging AWS, Azure, or GCP
• Partner with business leaders, Solution Architects, and technical teams to convert requirements into robust and scalable data architectures
• Counsel clients on data strategy, governance, and operational models to develop effective data ecosystems
• Lead consulting engagements and presales efforts by showcasing deep expertise in data engineering, management, and analytics
• Evaluate existing data environments, pinpoint deficiencies, and propose enhancements for data quality, governance, and availability
• Monitor industry trends and emerging technologies in data management, AI/ML, and cloud services to maintain competitive positioning
• Facilitate the development and deployment of accelerators, blueprints, and open-source tools for data service offerings
• Champion adherence to SDLC best practices, encouraging quality-focused code development and continuous integration/continuous delivery (CI/CD)
• Articulate complex technical strategies clearly to both technical and non-technical stakeholders
• Cultivate and sustain strong client partnerships as a trusted advisor in data technology and strategy

Requirements

• Extensive experience of 5+ years in Data Technology Consulting, Data Architecture, or equivalent roles on enterprise data projects
• Comprehensive knowledge of data architecture, lifecycle management, and enterprise data product design
• Proven experience delivering large-scale data solutions including data lakes, analytics platforms, and reporting systems
• Proficiency with data platforms and cloud technologies such as AWS, Azure, or GCP
• Expertise in data processing frameworks like Databricks or Microsoft Fabric
• Strong programming skills in SQL and Python
• Background in Master Data Management, data governance frameworks, and data quality tools
• Familiarity with AI/ML technologies including NLP and computer vision
• Understanding of software development lifecycle (SDLC), CI/CD processes, and quality-driven development practices
• Analytical mindset with strong problem-solving abilities for innovative data solution design
• Ability to collaborate effectively with both technical and business stakeholders to create and execute data strategies
• Proven track record managing and delivering complex data projects with measurable business impact
• Excellent organizational skills to handle multiple priorities and projects simultaneously
• Consulting expertise in stakeholder management, client relationship building, and clear communication of technical concepts
• Fluent English communication skills at C1 level, both written and verbal
• Capability to stay updated with industry trends, conduct market and competitor research, and apply insights to strategic planning