Data & AI Architect at Concurrency, Inc. (Minneapolis, MN)

Concurrency, Inc. is seeking a Data & AI Architect which requires both broad and deep technology knowledge and the ability to architect data solutions by mapping customer business requirements to end-to-end technology solutions. Demonstrated ability to engage in senior level technology decision maker discussions related to agility, business value, data warehousing, and cloud-oriented big data solutions is also a must. Data & AI Architects are key enablers for other consultants and partner staff by sharing deep knowledge in large enterprise implementations, best practices, and frameworks or patterns. They oversee delivery of the largest, most complex, and most strategic projects for enterprise customers.

Responsibilities:

·     Lead requirements and design sessions with client and internal teams

·     Author functional requirements and technical design documentation

·     Lead pre-sales client sessions and develop estimates and proposals

·     Lead strategic planning and roadmap development with clients

·     Work with BA and PM teams to plan project sprints, scope and resource allocation

·     Manage at project milestones to ensure successful solution delivery and client satisfaction

·     Continuous learning and research on modern data solutions, and relevant technologies

·     Work with solution team to help set standard architectures, processes, and best practices

·     Develop deep working relationships with key partners and vendors

·     Promote service offerings through blogs posts, industry groups, and speaking events

Qualifications:

·     Bachelor's Degree in Computer Science or related fields, or the equivalent in work experience

·     9+ or more years of experience in enterprise systems big data and warehouse architecture design, development, testing, deployment, and operational support  

·     Experience with advanced integration scenarios such as hybrid cloud architectures

·     Experience with enterprise architecture, server topologies, and distributed systems

·     Knowledge of Agile methodologies

·     Demonstrated verbal and written communication skills

·     Demonstrated technical documentation skills

·     Prior consulting experience

Skill Requirements:

• Data Warehouse Architecture & Implementation experience
• Data Modeling (Tabular)
• Azure Data Platform experience
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Data Lake Analytics
  • Azure SQL DB
  • Azure Datawarehouse
  • Azure Analysis Services
• SQL Server and T-SQL Development
• Machine Learning languages such as R or Python
• IoT experience a plus
• Spark experience a plus
• Azure Databricks experience a plus

by via developer jobs - Stack Overflow