Data Technology Consultant

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.ResponsibilitiesOversee the design and deployment of enterprise data platforms and solutions in alignment with business objectivesArchitect data frameworks including data lakes, analytics platforms, and reporting systems leveraging AWS, Azure, or GCPPartner with business leaders, Solution Architects, and technical teams to convert requirements into robust and scalable data architecturesCounsel clients on data strategy, governance, and operational models to develop effective data ecosystemsLead consulting engagements and presales efforts by showcasing deep expertise in data engineering, management, and analyticsEvaluate existing data environments, pinpoint deficiencies, and propose enhancements for data quality, governance, and availabilityMonitor industry trends and emerging technologies in data management, AI/ML, and cloud services to maintain competitive positioningFacilitate the development and deployment of accelerators, blueprints, and open-source tools for data service offeringsChampion 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 stakeholdersCultivate and sustain strong client partnerships as a trusted advisor in data technology and strategyRequirementsExtensive experience of 5+ years in Data Technology Consulting, Data Architecture, or equivalent roles on enterprise data projectsComprehensive knowledge of data architecture, lifecycle management, and enterprise data product designProven experience delivering large-scale data solutions including data lakes, analytics platforms, and reporting systemsProficiency with data platforms and cloud technologies such as AWS, Azure, or GCPExpertise in data processing frameworks like Databricks or Microsoft FabricStrong programming skills in SQL and PythonBackground in Master Data Management, data governance frameworks, and data quality toolsFamiliarity with AI/ML technologies including NLP and computer visionUnderstanding of software development lifecycle (SDLC), CI/CD processes, and quality-driven development practicesAnalytical mindset with strong problem-solving abilities for innovative data solution designAbility to collaborate effectively with both technical and business stakeholders to create and execute data strategiesProven track record managing and delivering complex data projects with measurable business impactExcellent organizational skills to handle multiple priorities and projects simultaneouslyConsulting expertise in stakeholder management, client relationship building, and clear communication of technical conceptsFluent English communication skills at C1 level, both written and verbalCapability to stay updated with industry trends, conduct market and competitor research, and apply insights to strategic planning #J-18808-Ljbffr