Lead enterprise data platform design and implementation ensuring alignment with business strategies

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

Collaborate with business units, Solution Architects, and technical teams to convert requirements into effective data architectures

Advise clients on data governance, strategy, and operating models to build robust data ecosystems

Drive consulting engagements and presales activities demonstrating expertise in data engineering and analytics

Assess current data environments, identify gaps, and propose improvements in data quality, governance, and availability

Monitor emerging industry trends, technologies in AI/ML, cloud solutions, and data management

Support the development and deployment of accelerators, blueprints, and open-source tools for data services

Ensure adherence to SDLC best practices and promote quality-focused development and CI/CD

Communicate technical concepts clearly to both technical and non-technical stakeholders

Build and maintain strong client partnerships as a trusted advisor in data technology and strategy

Proven experience of 5+ years as a Data Technology Consultant, Data Architect, or similar position in enterprise data projects

In-depth knowledge of data architecture, data lifecycle, and enterprise data product design

Practical experience delivering large-scale data solutions such as data lakes, analytics platforms, and reporting systems

Expertise with cloud data platforms including AWS, Azure, or GCP

Proficiency with data processing frameworks like Databricks or Microsoft Fabric

Strong programming skills in SQL and Python

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

Understanding of AI/ML technologies such as NLP and computer vision

Familiarity with SDLC, CI/CD methodologies, and quality-driven development practices

Analytical skills and problem-solving ability to innovate data solutions

Ability to work collaboratively with technical and business stakeholders to define data strategies

Track record of managing and delivering complex data projects with measurable business results

Excellent organizational capabilities for managing multiple priorities

Consulting skills in stakeholder management, client relations, and effective communication of technical concepts

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

Ability to stay informed about industry trends and apply insights to strategic planning