First Point Group
Azure Databricks Lakehouse Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Lakehouse Engineer on a contract basis, offering competitive pay. Candidates must have strong Azure Databricks experience, expertise in Python and Databricks SQL, and familiarity with data warehousing and security governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Vault #Batch #SQL (Structured Query Language) #Databricks #AI (Artificial Intelligence) #ADLS (Azure Data Lake Storage) #Azure Databricks #"ETL (Extract #Transform #Load)" #Data Architecture #Data Engineering #Python #Observability #Data Quality #Security #Scala #Data Lineage #BI (Business Intelligence) #Azure
Role description
Join our team as an Azure Databricks Lakehouse Engineer and help shape the future of a business-critical data platform. You'll serve as the technical authority for our Azure Databricks environment, driving architecture standards, governance, performance optimization, security, and innovation across our Lakehouse ecosystem.
What You'll Do
• Lead and evolve Azure Databricks Lakehouse architecture (Bronze/Silver/Gold).
• Define best practices, standards, and reusable design patterns.
• Design and review batch, streaming, and ingestion pipelines.
• Optimize performance, scalability, security, and cost efficiency.
• Drive CI/CD, observability, governance, and data quality initiatives.
• Mentor data engineers through architecture reviews and code audits.
• Evaluate and implement new Databricks capabilities, including AI/BI, Lakeflow, and Delta Live Tables.
What You'll Bring
• Strong experience with Azure Databricks and large-scale Lakehouse environments.
• Expertise in Python, Databricks SQL, and Azure Data Services (ADLS Gen2, Key Vault, Event Hub, Networking).
• Deep knowledge of Data Warehousing, Dimensional Modeling, SCDs, and ETL frameworks.
• Experience with Unity Catalog, security governance, and data lineage.
• Strong stakeholder management and communication skills.
• Databricks and Azure certifications are a plus.
Why Join Us?
You'll have the opportunity to influence enterprise data architecture, work with cutting-edge Databricks technologies, and help an established team build scalable, high-performance data products.
Join our team as an Azure Databricks Lakehouse Engineer and help shape the future of a business-critical data platform. You'll serve as the technical authority for our Azure Databricks environment, driving architecture standards, governance, performance optimization, security, and innovation across our Lakehouse ecosystem.
What You'll Do
• Lead and evolve Azure Databricks Lakehouse architecture (Bronze/Silver/Gold).
• Define best practices, standards, and reusable design patterns.
• Design and review batch, streaming, and ingestion pipelines.
• Optimize performance, scalability, security, and cost efficiency.
• Drive CI/CD, observability, governance, and data quality initiatives.
• Mentor data engineers through architecture reviews and code audits.
• Evaluate and implement new Databricks capabilities, including AI/BI, Lakeflow, and Delta Live Tables.
What You'll Bring
• Strong experience with Azure Databricks and large-scale Lakehouse environments.
• Expertise in Python, Databricks SQL, and Azure Data Services (ADLS Gen2, Key Vault, Event Hub, Networking).
• Deep knowledge of Data Warehousing, Dimensional Modeling, SCDs, and ETL frameworks.
• Experience with Unity Catalog, security governance, and data lineage.
• Strong stakeholder management and communication skills.
• Databricks and Azure certifications are a plus.
Why Join Us?
You'll have the opportunity to influence enterprise data architecture, work with cutting-edge Databricks technologies, and help an established team build scalable, high-performance data products.
