4 databricks platform jobs at 4 companies in Brookfield, WI
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IT Manager - Data Platform & Engineering
Brownsville or Milwaukee or Neenah
OnsiteFull Time
Michels: Provides global energy, utility, and infrastructure construction services.
8+ YOE4+ MgmtLead and build a data engineering team; design, implement, and operate enterprise cloud data platforms; hands-on SQL and Python; 8+ years data engineering experience with 4+ years leading teams.
Databricks, Snowflake, Microsoft Fabric, BigQuery, SQL, Python, CI/CD
STRATTEC Security CorporationNASDAQ: STRT: Designs and manufactures automotive security and access control systems.
8+ YOE3+ Mgmt8+ years in data architecture or systems integration, 3+ years leading technical teams; expertise with Azure data services, integrations, Power Platform, analytics tools, and enterprise data governance.
Azure SQL, Dataverse, Data Lake, Synapse Analytics, Microsoft Fabric, Azure Data Factory, Power Apps, Power Automate, Copilot Studio, Power BI, Databricks, SQL, Python, Apache Spark, Azure API Management, Infor ION, MuleSoft, Boomi, Apigee, Kong, Amazon API Gateway, Postman, SAP Integration Suite, EDI
County Materials: Manufacturer of concrete construction, landscape, and masonry products.
8+ YOE3+ MgmtLead enterprise data, integration, automation and internal development functions; manage teams, governance, ETL/ELT, API/EDI integrations, cloud data platforms, and deliver measurable automation and analytics value.
Microsoft Azure SQL, Microsoft Azure Data Factory, Microsoft Dataverse, Microsoft Synapse, Microsoft Fabric, Databricks, Microsoft Power BI, Microsoft Power Apps, Microsoft Power Automate, Microsoft Copilot Studio, Databricks, SQL, Python, Spark, Infor Cloud Suite, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong, Amazon API Gateway, Postman, SAP Integration Suite
SPR: A technology modernization firm that implements and modernizes digital products and platforms to meet clients' business needs.
10+ YOE10+ years in data engineering/architecture, hands-on experience with cloud data pipelines and AI data layers, strong SQL/Python skills, data modeling/governance, AI platform experience, and consulting/leadership ability.