Databricks Cloud Architect

Databricks Cloud Architect

US Remote

Contract-to-Hire

$60 to $65 per hour, with a potential conversion to a full-time salary of $120K to $130K DOE

Job Summary: Databricks Cloud Architect

We are seeking a Databricks Cloud Architect to join our team as a technical consultant and leader in data engineering and analytics initiatives. As a Databricks expert, you will be responsible for designing and implementing cloud-based data solutions using Databricks Lakehouse, collaborating with development teams to drive data-driven outcomes, and promoting best practices for big data and machine learning. This is an excellent opportunity to grow your career and contribute to the success of our organization.

Responsibilities

• Design, implement, and deploy workloads on Databricks Lakehouse, ensuring efficient and scalable data processing
• Collaborate with cross-functional teams to ensure timely project completion and provide technical guidance on data engineering and analytics initiatives
• Develop and maintain a serverless platform for big data and machine learning, leveraging Databricks and other cloud technologies
• Optimize workload performance and create multi-language notebooks for data science and engineering teams
• Implement new features and upgrades in Databricks, ensuring seamless integration with existing infrastructure
• Provide regular project status updates and risk management insights to stakeholders

• Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field
• 2-5 years of experience as a Cloud Architect, Data Engineer, or similar role, with a focus on big data and cloud technologies
• Strong understanding of Databricks Lakehouse, including its architecture, features, and best practices
• Strong Knowledge of cloud computing platforms, such as Azure
• Familiarity with big data technologies, including Hadoop, Spark, and NoSQL databases
• Proficiency in Python programming language and SQL
• Experience with API injection and cloud security measures

• Databricks certification and expertise in Big Data Engineering or Data Warehousing.

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