Lead Data Engineer � Contract

Posted on November 10, 2026

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Job Description

Lead Data Engineer – Contract

Overview

• Experience: 10+ Years
• Duration: 3+ Months
• Engagement: Contract
• Location: Remote

Key Responsibilities

• Design and build scalable, production-grade data architecture for AI-driven products.
• Develop and optimize data pipelines using Databricks, PySpark, Spark SQL, Python and SQL.
• Own data platform architecture using Delta Lake, Unity Catalog and Medallion Architecture.
• Implement data modelling using Kimball, Data Vault 2.0 and dbt.
• Work across AWS and Azure cloud environments.
• Support LLM/RAG pipelines, embeddings and vector search workloads.
• Establish engineering standards, conduct code reviews and mentor data engineers.
• Ensure data governance, security, observability, reliability and cost optimization.
• Work with Kubernetes, Terraform/Bicep and CI/CD environments.

Required Skills

• Databricks, Delta Lake, Unity Catalog
• PySpark, Spark SQL, Python, SQL
• Snowflake, dbt, Data Vault 2.0
• Kimball dimensional modelling
• AWS & Azure
• LLM/RAG, embeddings, vector search
• Kubernetes, Terraform/Bicep
• CI/CD, Azure DevOps
• Databricks MLflow
• Data governance, security & observability

Qualifications

• 10+ years of production Data Engineering experience.
• 3+ years in Lead / Staff / Principal-level roles.
• Strong hands-on experience in enterprise data architecture and engineering.
• Experience building and supporting production data platforms.
• Strong communication, technical leadership and mentoring capabilities.
• Experience in regulated/compliance-heavy environments is a plus.

Required Skills

No specific skills listed.