As a Data Solution Architect with NTT DATA, you will play a pivotal role in designing and implementing cutting-edge data solutions for our clients across various industries. Your expertise in multi-cloud environments, combined with your consulting acumen, will drive successful project outcomes and client satisfaction.

Key Responsibilities:

• Collaborate with clients, project managers, business leaders, and cross-functional teams to understand business requirements and ensure alignment with client goals and industry best practices.
• Design end-to-end data architectures and solutions leveraging multi-cloud platforms such as AWS, Azure, and Google Cloud to meet customer needs and specific use cases.
• Lead the implementation of data solutions, providing technical guidance, mentorship, and recommendations to project teams.
• Conduct assessments of existing data infrastructure, develop long-term strategic goals for data architecture vision, and establish data standards for enterprise systems.
• Utilize various cloud technologies and data platforms like Databricks and Snowflake to conceptualize and create an end-to-end vision for data flow.
• Institute processes for governing the identification, collection, utilization, and tracking of corporate metadata, ensuring accuracy, validity, and data quality.
• Develop comprehensive strategies and plans for data management, capacity planning, security, scalability, backup, disaster recovery, business continuity, and archiving.
• Identify potential areas for policy enhancements and initiate changes for optimal data management, while staying informed about upgrades and emerging technologies.
• Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation.
• Stay informed about emerging technologies, trends, and best practices in data architecture and management, applying them to enhance solution design and delivery.
• Create documentation, including architectural diagrams and technical specifications, to support solution development and maintenance.

• 8+ years of professional experience in data architecture, data engineering, or related roles.
• 8+ years of proven track record of designing and implementing data solutions, preferably in a variety of industries.
• 8+ years of extensive experience with data modeling, ETL processes, data integration, and data warehousing.
• Undergraduate or graduate degree preferred.
• Ability to travel at least 25%.

• Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud, Snowflake and proficiency and certification in at least one of these platforms.
• Demonstrated expertise in multi-cloud environments and familiarity with a range of data management tools and technologies.
• Experience leading and mentoring project teams, providing technical guidance and support.
• In-depth knowledge of data governance, security, compliance, and best practices in data management.
• Valuable "Big 4" Management Consulting experience or exposure to multiple industries.