

Senior Azure DataBricks Engineer Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Databricks Engineer Lead, offering a remote, full-time position for over 6 months. Key skills include Azure Databricks, data engineering, data architecture, and compliance with GDPR. Strong experience in data pipelines and Lakehouse architecture is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 19, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Lake #Data Lakehouse #GDPR (General Data Protection Regulation) #Scala #Documentation #Data Science #Data Pipeline #Databricks #Compliance #Migration #Azure #IAM (Identity and Access Management) #Data Architecture #Data Governance #Data Engineering #Azure Databricks #Data Encryption #Data Quality #Security
Role description
Job Title: Senior Azure Databricks Engineer Lead
Location: Remote
Job Type: Full Time.
Job Description:
The Azure Databricks Platform Architect/Admin will be responsible for designing, implementing, and managing our Azure Databricks platform. The ideal candidate will have a strong background in Azure Databricks, data engineering, and data architecture, with a focus on building scalable and secure data platforms. The successful candidate will work closely with our data engineering and data science teams to ensure seamless integration of data pipelines and Lakehouse architecture. This role should ensure coding standard and coding migration to higher environment and CI/CD
Design, implement, and manage our Azure Databricks platform, ensuring high availability, scalability, and security.
Configure and optimize Databricks clusters, jobs, and notebooks for performance and cost-effectiveness.
Maintain up to date architecture environment.
Works with Azure and Databricks to resolved platform issues/tickets.
Optimize cost / performance
Collaborate with data engineering teams to design and implement/migrate data pipelines using using industry best practice.
Automate manual admin tasks.
Develop and maintain data Lakehouse architecture, ensuring data quality, integrity, and security. Work with Azure IAM and Engineering team to come up with RBAC for Databricks tables.
Design and manage Lakehouse and sandbox environments for data science teams, ensuring data governance and security.
Collaborate with data science teams to integrate data pipelines and Lakehouse architecture.
Ensure Azure Databricks platform security and compliance with organizational security policies and regulatory requirements (e.g., HIPAA,NIST,GDPR).
Implement data encryption, access controls, and auditing.
Develop and maintain technical documentation for Azure Databricks platform, data pipelines, and Lakehouse architecture.
Share knowledge and best practices with data engineering and data science teams.
Job Title: Senior Azure Databricks Engineer Lead
Location: Remote
Job Type: Full Time.
Job Description:
The Azure Databricks Platform Architect/Admin will be responsible for designing, implementing, and managing our Azure Databricks platform. The ideal candidate will have a strong background in Azure Databricks, data engineering, and data architecture, with a focus on building scalable and secure data platforms. The successful candidate will work closely with our data engineering and data science teams to ensure seamless integration of data pipelines and Lakehouse architecture. This role should ensure coding standard and coding migration to higher environment and CI/CD
Design, implement, and manage our Azure Databricks platform, ensuring high availability, scalability, and security.
Configure and optimize Databricks clusters, jobs, and notebooks for performance and cost-effectiveness.
Maintain up to date architecture environment.
Works with Azure and Databricks to resolved platform issues/tickets.
Optimize cost / performance
Collaborate with data engineering teams to design and implement/migrate data pipelines using using industry best practice.
Automate manual admin tasks.
Develop and maintain data Lakehouse architecture, ensuring data quality, integrity, and security. Work with Azure IAM and Engineering team to come up with RBAC for Databricks tables.
Design and manage Lakehouse and sandbox environments for data science teams, ensuring data governance and security.
Collaborate with data science teams to integrate data pipelines and Lakehouse architecture.
Ensure Azure Databricks platform security and compliance with organizational security policies and regulatory requirements (e.g., HIPAA,NIST,GDPR).
Implement data encryption, access controls, and auditing.
Develop and maintain technical documentation for Azure Databricks platform, data pipelines, and Lakehouse architecture.
Share knowledge and best practices with data engineering and data science teams.