Data Solutions Architect - AI

Overview

The Data Solutions Architect provides architectural leadership and guidance in their assigned business area, aligning solution development efforts with the broader architectural vision and roadmap. A Technical Architect’s skills and knowledge must include multiple domains (Application/Solution architecture, Technical/Infrastructure architecture, Information/Data architecture), and experience with relevant implementation technology, platforms, and tools. As a leader, a Technical Architect is expected to influence the assigned organization and work independently with senior business and IT leaders, while acting as a mentor and role model within the development teams. The Technical Architect is accountable for successful implementation of architecture in their assigned organization/teams, which requires excellent communication skills, the ability to work with developers of differing skill levels, and the ability to recognize, surface, and resolve architectural issues in a collaborative manner.

Responsibilities

• Responsible for designing and leading a robust, scalable, and secure end2end data architecture that support our business objectives and enable data-driven decision-making 
• Collaborate with stakeholders across the organization to define and articulate data strategy and objectives aligned with business goals 
• Enable data governance and stewardship, data governance frameworks, data quality controls as well as monitoring mechanisms ensuring alignment on data policies and standards. 
• Design and develop data models, schemas, and data warehouse architectures that support business intelligence, analytics, and reporting requirements 
• Architect efficient data integration pipelines  
• Ensure data lineage and traceability across organization's data ecosystem 
• Implement data security measures, access controls, and authentication mechanisms to protect sensitive data and ensure compliance 
• Implement data retention, archiving, disaster recovery, and business continuity policies and plans 
• Monitor data quality, performance bottlenecks, and data flows for efficient and reliable data delivery 
• Complete all responsibilities as outlined on annual Performance Plan.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Qualifications

• BA / preferably a Master’s degree in computer science, engineering, mathematics or equivalent work experience 

• Experience communicating across technical and non-technical audiences, including training, workshops, publications is a plus 

• 7+ years of technical specialist, design and architecture experience 

• 5+ years of database (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 

• 5+ years of cloud-based solution (AWS/Azure/GCP), system, network and operating system experience 

• Experience designing and architecting distributed data systems