Title: Manager Azure Data Analytics and Artificial Intelligence
Location: Must live in one of the following locations to be eligible:
FL, GA, TN, TX, NC, VA, MA, IL, AZ, CO, WA,PA, HI
Travel required: MUST BE WILLING TO TRAVEL FOR final round interviews to Tampa, FL and if selected orientation and for critical meetings etc.
The Software Data Engineering Manager will lead and evolve our engineering discipline within the Artificial Intelligence & Analytics (AI+A) team.
- This role does not require active coding, but qualified candidates must have the skills to operate as a software engineer With the skills outlined.
- The ideal candidate will have a strong technical foundation, extensive development experience in designing, developing, and implementing high performing, scalable Big Data solutions built on Azure.
- Preferably in Azure Data Factory, Azure Databricks, Azure SQL, SQL Server Azure Data Lake, Cosmos DB, Big Data Analytics
- Preferably in Azure Synapse Analytics, Azure Analysis Services, and Snowflake
- Team & Technical Leadership – deep commitment to creating a highly collaborative, innovative and high performing engineering team that builds high quality, consumer-grade products
- Provide hands on technical oversight on project initiatives to promote, influence, and guide delivery excellence
- Coordinate with Technical Lead on organizing, planning and executing the teams work
- Talent Management – solidexpertise and knowledge in resource management and staff performance management
Technical Skills
- Proficiency in the following is required:
- Azure products: Databricks, Data Lake Storage, Log Analytics, Power BI Embedded, App Service, Functions, Kubernetes Service, Key Vault, SQL, Redis, Application Insights, Data Analytics, Lakehouse and APIM.
- C#, Python, SQL, JavaScript and React (or other FE technology)
- CI/CD pipelines using automated build, testing, and deployment processes to facilitate frequent and reliable software releases in a mature development setting
- Ability to lead others and motivate with a positive and confident personal style
- 5+ years of relevant management experience leading teams of 7+ engineers across multiple technical disciplines
- 8+ years as a software engineer with 3+ years designing, developing and implementing Big Data solutions on Azure
- Prior experience with multi-tenant SaaS based applications preferred
- Bachelor’s degree in a related technical field
- Experience working within established development methodologies such as Agile, Scrum, or Kanban, adhering to structured processes for requirements gathering, planning, development, testing, and deployment
Number Supervised: 8-12