Databricks Architect

NTT DATA Services•Plano, TX

4d•Onsite

About The Position

NTT DATA is currently seeking a Databricks Architect to join their team. This role involves developing and articulating long-term strategic goals for data architecture vision, establishing data standards, and conceptualizing end-to-end data flow. The architect will implement processes for data quality, governance, and management, including capacity planning, security, life cycle management, scalability, backup, disaster recovery, business continuity, and archiving. They will also formulate data models, provide technical recommendations, stay informed about emerging technologies, collaborate with project managers and business leaders, document the data architecture, and design data solutions tailored to customer needs. Additionally, the role requires providing thought leadership on suitable technologies and solutions.

Requirements

8+ years of hands-on experience with various database technologies
6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions.
Ability to travel at least 25%.

Nice To Haves

Certifications in AWS, Azure, and GCP
Certifications in Snowflake
Valuable "Big 4" Management Consulting experience or exposure to multiple industries.
Undergraduate or graduate degree

Responsibilities

Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems.
Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake.
Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages.
Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity.
Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement.
Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise.
Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving.
Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management.
Formulate and maintain data models and establish policies and procedures for functional design.
Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation.
Stay informed about upgrades and emerging database technologies through continuous research.
Collaborate with project managers and business leaders on all projects involving enterprise data.
Document the data architecture and environment to ensure a current and accurate understanding of the overall data landscape.
Design and implement data solutions tailored to meet customer needs and specific use cases.
Provide thought leadership by recommending the most suitable technologies and solutions for various use cases, spanning from the application layer to infrastructure.