Lead Databricks Engineer - 25-03201

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Job Title : Lead Data Engineer / Databricks Engineer (W2 only)

Location : Blue Ash, OH (Hybrid – 4 Days Onsite per Week)

Duration : 12 Months

Pay Rate : $60 / hr – $85 / hr on W2

Local only

Job Description

We are seeking a highly skilled and hands-on Senior Data Engineer to join our Data & Analytics team. In this role, you will play a key part in building and scaling the organization’s behavioral and Ecommerce data platform, enabling trusted analytics and making AI-ready data available across the enterprise.

This is a delivery-focused engineering role that requires deep technical expertise in Azure, Databricks, and Synapse, along with experience managing large-scale behavioral data in complex enterprise environments. The ideal candidate will excel in translating business requirements into scalable technical solutions and platform capabilities.

Required Qualifications

• 7+ years of experience in Data Engineering or similar roles, with hands-on delivery of cloud-based data solutions.
• Preferred certifications : Microsoft Certified : Azure Data Engineer Associate and Databricks Certified Data Engineer Professional.
• Strong expertise in Databricks and Azure Synapse, with real-world experience in Spark-based data processing.
• Proficiency in modern data architectures (Lakehouse, ELT / ETL pipelines, real-time data processing).
• Advanced SQL skills for data transformation and performance tuning.
• Proven track record of modeling and managing large-scale behavioral and Ecommerce datasets.
• Deep understanding of BI best practices, data enablement, and self-service analytics.
• Hands-on experience with Unity Catalog and data cataloging tools such as Alation for governance and metadata management.
• Working knowledge of behavioral analytics tools, including Adobe Analytics and Adobe Customer Journey Analytics.
• Excellent communication skills with the ability to translate complex technical details into business value.
• Experience operating in agile delivery environments (Jira, Confluence).
• Demonstrated technical leadership experience as a Lead Engineer.

Key Responsibilities

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