NLB Services

Data Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Lead in Racine, WI, requiring 10+ years of Databricks, 6+ years of Teradata, and 8+ years in Data Architecture. Contract length is unspecified, with a focus on strong communication and technical skills in data engineering.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Racine, WI
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Quality #Teradata #"ETL (Extract #Transform #Load)" #DataOps #SQL (Structured Query Language) #Data Architecture #Python #ML (Machine Learning) #Synapse #Scala #Informatica #PySpark #Databricks #Spark (Apache Spark) #ADF (Azure Data Factory)
Role description
Job Title: Data Lead Location: Racine, WI (3 days onsite) Mandatory Areas Must Have Skills – Data Lead Skill 1 – 10 + Years of exp in Databricks Skill 2 – 6 + Years of Exp in Teradata Skill 3- 8+ Years of exp in Data Architecture Key Responsibilities: Serve as the main onsite point of contact for clients and business stakeholders. Understand project requirements, clarify expectations, and communicate them effectively to offshore teams. Participate in requirement discussions, daily stand ups, and status meetings with stakeholders. Coordinate project activities between onsite and offshore teams, ensuring alignment on tasks, timelines, and priorities. Track project progress, identify risks, escalate issues early, and drive timely resolutions. Ensure adherence to project quality standards, delivery timelines, and SLAs. Must Have: Strong communication and interpersonal skills. Technically sound in Databricks, Pyspark, Python, Fabric, ADF, Synapse, informatica, ETL/DataEngineering, data quality, DataOps, SQL, CI/CID Designing and solutioning expertise Experience coordinating between onsite/offshore team. Ability to understand functional requirements and translate them into tasks. Good analytical and problem solving skills. Experience working directly with clients or product owners. Good-to-Have Domain knowledge (Manufacturing/Retail). Experience in supporting data initiatives for AI/ML and GenAI projects