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Senior, niche Azure/Databricks focus and non-metro location lowers competition for qualified candidates.
Azure and Databricks data engineering skills are transferable across industries but require domain data architecture expertise.
Explicit 10+ years requirement plus mandatory Azure, Databricks, data architecture and modeling skills.
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Design, develop, test, and deploy data integration processes using tools including Microsoft SSIS, Azure Data Factory, Databricks, and others.
Lead data architecture efforts for enterprise self-service analytics, BI reports, and visualizations using Power BI, Tableau, and similar tools.
Coach team members, oversee project delivery, and collaborate with project managers and business/technical staff on data strategies and methodologies.
10 years industry experience with data integration tools such as Databricks and Azure Data Factory.
Minimum 5 years experience in data architecture, data modelling, or similar roles.
Bachelor’s degree or equivalent experience; Master’s degree preferred.
Experience with Azure data storage (SQL Database, Data Lake, Blob Storage), big data frameworks (Spark/Hadoop/Hive), and data modelling tools (ERwin, PowerDesigner).
Experienced in implementing and maintaining data pipelines and workflows aligned with business needs in Azure environments.
Senior-level expertise in data warehousing, SDLC, and orchestration tools like Azure Data Factory or HDInsight, with Agile development experience.
Demonstrated capability to lead teams, drive architectural guidance, and integrate BI/reporting tools in decision support environments.