A large retail company is seeking a Lead Data Engineer to join their team in Cincinnati, OH. While a Cincinnati candidate would be ideal, the Hiring Team is open to an all-star candidate sitting remotely. The client is an enterprise grocery store chain, and the Sr. Data Engineer will be brought on to assist in the establishing of a data platform and data strategy for internal shared services teams. Working alongside a Lead DevOps individual and 2 Data Engineers, the Lead Data Engineer will help establish the platform over the course of 6-8 weeks. After that time, additional Engineers may be brought on for more backlog project work. The platform is already in existence in Azure, but the Lead and Data Engineering team will help make it accessible, serving it to business users in the enterprise.
Responsibilities include, but are not limited to:
Design, develop, and implement patterns and framework for ingestion & movement of data through the layers (medallion architecture)
Evaluate, recommend, and implement Databricks infrastructure (compute clusters, cluster policies, SQL warehouses, etc.) to support project needs while optimizing for cost and demand for data.
Design, develop, and implement processes to document, share & govern our data via Unity Catalog and Alation
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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7+ years' overall experience in the Data Engineering space, specifically with Azure Data tools like Azure Databricks, Databricks Workflows, Databricks Delta Live Tables, Delta Lake, Azure Data Factory (ingestion & orchestration), Azure SQL Database, etc.
At least 2 years' experience in a Lead capacity, including both technical direction and mentorship of less experienced engineers/analysts
Experience planning design, development, execution and monitoring of complex data integrations to support project delivery
Experience with CICD: implementing and streamlining CICD processes with engineering teams
Knowledge of CICD practices for Azure Data Factory & Azure Databricks
2-3 years of Hands on Experience working with in Azure Databricks including workflows, Delta Live Tables and Databricks Unity Catalog
SQL
Exceptional communication skills, proven through leadership examples
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.