Manager of Data Integrations Location: Hybrid Chicago or Bloomington, MN
Direct Hire Job Description: We are looking to hire a Sr. Manager of Data Integrations for a rapidly growing SaaS FinTech that provides comprehensive, innovative, and fully integrated Business Optimization software that complements clients’ existing systems and delivers transformative ROI to their company. The company works with corporate and private equity clients on complex decisions that involve strong analysis, extensive modeling, and advanced data analytics across a wide variety of industries. The Sr. Manager of Data Engineering will:
Hire, attract and retain top talent, creating a cohesive culture that fosters innovation and a client service attitude. and collaboration.
Innovate towards building performant, scalable data engineering pipelines.
Develop measurable and actionable objectives for the data engineering team related to integration productivity and reliability.
Drive design and development of resilient, reliable, scalable, automated, and self-healing solutions with best practices and appropriate monitoring and alerting mechanisms
Set performance and development plans for team members. Provide regular feedback and coaching to enhance potential. Recognize team successes and challenges
Provide oversight for an on-call support rotation.
Required skills
Degree in Computer Science, Data Engineering, MIS, or related field
5+ years of experience in the Data Integration / Engineering space
4+ years leading/managing/building a team
Domain expertise in ETL/ELT data ingestion patterns and processing across a wide array of data sources and Toolsets
Solid understanding of data engineering and processes: design patterns, algorithms, data structures, schemas and queries, system design, unit testing, code reviews, agile, and dev-ops
Experience using modern software engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps, etc
Solid experience operating in a quickly changing environment and driving technological innovation to meet business requirements
Experience with Azure Cloud PaaS data services, Preferably in Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Azure Data Lake
Significant Data Engineering Experience using large data systems on T-SQL, and/or Python
Note: This is a perm position so all applicants are required to hold a valid US work status that does not require a visa transfer or sponsorship.
