Resident Solution Architect (Databricks)
New
C
CleraData Engineering
Fully remote, open to candidates based in North America.ContractSenior
SalaryUp to $80/hr on W2
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Job Details
- Experience
- 10+ years of consulting experience, including 7+ years in Data Engineering, Data Platforms, and Analytics.
- Required Skills
- AWSGCPAzureData engineeringSparkCI/CDDatabricksMLOps
Requirements
- 10+ years of consulting experience, including 7+ years in Data Engineering, Data Platforms, and Analytics.
- Hands-on delivery of 6 to 8 or more Databricks implementation projects.
- Strong expertise in Apache Spark and distributed computing, including Spark runtime internals.
- Deep understanding of the Databricks Lakehouse Platform, including current capabilities and best practices.
- Databricks Data Engineering Professional Certification completed or in progress.
- Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
- Solid understanding of CI/CD pipelines for production data platform deployments.
- Working knowledge of MLOps concepts and tooling.
- Enterprise-scale implementation background in a senior, hands-on Solution Architect capacity.
Responsibilities
- Lead end-to-end Databricks implementation projects from architecture design through production deployment.
- Design and optimize large-scale data platforms using the Databricks Lakehouse Platform and Apache Spark.
- Apply performance tuning and scalability best practices to distributed data systems.
- Implement and support CI/CD pipelines for data platform deployments across cloud environments.
- Contribute to MLOps workflows and advise on operationalizing machine learning within the data platform.
- Serve as a trusted technical advisor to enterprise clients, translating business needs into platform architecture decisions.
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