Azure DataBricks Lead/Architect (with AI Expertise) - W2 / 1099 Only
Job-Role/Title: Azure DataBricks Lead/Architect (with AI expertise)
Job-Location: Bannockburn, Illinois, United States.
Job-Type: Long-Term Contract Opportunity. The initial contract is for 12 months, with extensions.
Work Style: Can work remotely from within North America.
Key Deliverables:
• Design and architect data solutions using Azure DataBricks
• Develop and deploy AI and machine learning models using DataBricks
• Integrate DataBricks with other Azure services (e.g., Azure Storage, Azure Synapse)
• Optimize data pipelines and workflows for performance and scalability
• Collaborate with data scientists and engineers to build AI-powered solutions
• Data Architecture Design and Implementation:
• Design and implement cloud-based data architectures leveraging DataBricks, Azure, and AWS or Google Cloud Platform.
• Architect end-to-end data pipelines that integrate with DataBricks and other cloud services.
• Ensure that the data architecture supports both batch and real-time data processing and analytics.
• Leverage DataBricks Delta Lake for data storage, management, and processing.
• Data Integration:
• Integrate data from various sources, including operational databases, data lakes, and third-party APIs.
• Work with teams to ensure seamless ETL/ELT processes within the DataBricks environment
• Collaborate with data engineers to build data ingestion pipelines and automate data workflows.
Key Skillset for this Role
• Hands-on experience with DataBricks (using Apache Spark, Delta Lake, etc.)
• Strong understanding of data architecture and data engineering principles.
• Solid experience in working with big data technologies such as Hadoop, Spark, Kafka, or similar.
• Expertise with Snowflake Architecture is a big plus.
• Experience with AI and Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with cloud platforms (Azure, and AWS, or Google Cloud Platform) and cloud-native data tools
• Experience leading or managing teams and projects.
• Experience with Azure services (e.g., Azure Storage, Azure Synapse, Azure Machine Learning)
• Excellent knowledge of data governance and security best practices
• Hands-on DevOps best practices and CI/CD pipelines.
We appreciate all the applicants for their interest in working with us, however, only those candidates shortlisted for the next steps in the hiring process will be contacted.
Thank you. Cloudingest!
Job-Role/Title: Azure DataBricks Lead/Architect (with AI expertise)
Job-Location: Bannockburn, Illinois, United States.
Job-Type: Long-Term Contract Opportunity. The initial contract is for 12 months, with extensions.
Work Style: Can work remotely from within North America.
Key Deliverables:
• Design and architect data solutions using Azure DataBricks
• Develop and deploy AI and machine learning models using DataBricks
• Integrate DataBricks with other Azure services (e.g., Azure Storage, Azure Synapse)
• Optimize data pipelines and workflows for performance and scalability
• Collaborate with data scientists and engineers to build AI-powered solutions
• Data Architecture Design and Implementation:
• Design and implement cloud-based data architectures leveraging DataBricks, Azure, and AWS or Google Cloud Platform.
• Architect end-to-end data pipelines that integrate with DataBricks and other cloud services.
• Ensure that the data architecture supports both batch and real-time data processing and analytics.
• Leverage DataBricks Delta Lake for data storage, management, and processing.
• Data Integration:
• Integrate data from various sources, including operational databases, data lakes, and third-party APIs.
• Work with teams to ensure seamless ETL/ELT processes within the DataBricks environment
• Collaborate with data engineers to build data ingestion pipelines and automate data workflows.
Key Skillset for this Role
• Hands-on experience with DataBricks (using Apache Spark, Delta Lake, etc.)
• Strong understanding of data architecture and data engineering principles.
• Solid experience in working with big data technologies such as Hadoop, Spark, Kafka, or similar.
• Expertise with Snowflake Architecture is a big plus.
• Experience with AI and Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with cloud platforms (Azure, and AWS, or Google Cloud Platform) and cloud-native data tools
• Experience leading or managing teams and projects.
• Experience with Azure services (e.g., Azure Storage, Azure Synapse, Azure Machine Learning)
• Excellent knowledge of data governance and security best practices
• Hands-on DevOps best practices and CI/CD pipelines.
We appreciate all the applicants for their interest in working with us, however, only those candidates shortlisted for the next steps in the hiring process will be contacted.
Thank you. Cloudingest!
