Manage the design and deployment of enterprise data platforms and solutions that align with organizational strategies

Develop and architect data frameworks including data lakes, analytics platforms, and reporting solutions on AWS, Azure, or GCP

Engage with business stakeholders, Solution Architects, and technical teams to translate needs into scalable data architectures

Provide expert advice to clients on data strategy, governance, and operating models to create efficient data ecosystems

Lead consulting and presales activities demonstrating expertise in data engineering, management, and analytics

Evaluate current data environments, identify gaps, and recommend enhancements in data quality, governance, and availability

Stay updated on industry trends, emerging technologies, and best practices in AI/ML, cloud, and data management

Support creation and rollout of accelerators, blueprints, and open-source tools for Data Service Offerings

Ensure compliance with SDLC best practices, promote quality-focused code development and CI/CD

Communicate complex technical strategies clearly to both technical and non-technical audiences

Build and maintain trusted client relationships as a data technology and strategy advisor

Extensive experience of 5+ years in Data Technology Consulting, Data Architecture, or related roles in enterprise data projects

Thorough knowledge of data architecture, lifecycle, and enterprise data product design

Hands-on experience implementing large-scale data solutions including data lakes and analytics platforms

Proficiency with cloud data platforms such as AWS, Azure, or GCP

Strong skills in data processing frameworks like Databricks or Microsoft Fabric

Advanced programming skills in SQL and Python

Background in Master Data Management, data governance, and data quality tools

Familiarity with AI/ML technologies including NLP and computer vision

Understanding of SDLC, CI/CD processes, and quality-oriented development practices

Strong analytical and problem-solving capabilities for innovative data solutions

Ability to collaborate effectively with technical and business teams to define and deliver data strategies

Proven success managing and delivering complex data projects with measurable results

Excellent organizational skills to handle multiple priorities and projects

Consulting expertise in stakeholder management, client engagement, and clear communication of technical concepts

Fluent English communication skills at C1 level, both written and verbal

Ability to stay current with industry trends and apply insights to strategic planning