Azure Solution Architect

Description

Evaluates architectural options and defines overall architecture.
Partnering with all areas of the business to gather requirements for Digital Data Products solutions.
Defines functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs.
Determines major elements and subsystems and defines interfaces as well as architectural runway.
Providing subject matter expertise and technical consulting support on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, App Insights, CosmosDB, Function app, Service Bus (Topics/Queues), Kafka, Databricks, Synapse, Power BI, ADLS Gen2, Polybase and Machine Learning/AI.
Mentoring and coaching other members of the agile and\or Run team.
Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.
Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.
Conducting industry research, facilitates new product and vendor evaluations, and assists in vendor selection.
This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required.

Responsibilities

• Bachelor’s degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required.
• 8+ years industry experience (business application design, development, implementation, and/or solution architecture)
• Understanding of architecture practices and execution for large projects / programs.
• Excellent written and oral communications skills.
• Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting
• Experience building and designing data and analytics on enterprise solutions such as Azure - Data Factory, Log Analytics, App Insights, CosmosDB, Function app, Service Bus (Topics/Queues), Databricks, Synapse, Power BI, Kafka, ADLS Gen2, Polybase and Machine Learning/AI
• In-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirements
• Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and legal compliance in the Azure architecture
• Preferred knowledge and experience on Python and API architecture in Azure
• Any SAFe certification or training.
• Experience with multiple, diverse technical configurations, technologies, and processing environments.
• Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.