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

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