Databricks Architect
4 weeks ago
Position Description:
Job Description: Databricks Architect
Role Specific Responsibilities Include:
- 10+ years of experience in implementing large data and analytics platforms.
- 5+ years of experience architecting and building data platforms on Azure.
- 5+ years of experience architecting and building data platforms on Databricks from scratch.
- Pro in all Databricks engineering services Unity Catalog, Spark Jobs, Delta Live Table (DLT), DLT Meta, Databricks Workflow, Auto Loader.
- Hands on in Databricks SQL, PySpark
- Understanding of data modelling, data mappings, understand the data model changes and propose the best practices and guidelines.
- Creating technical design based on end-to-end data architecture and frameworks for meta data driven data ingestion, transformation, logging and monitoring.
- Deploying data pipelines/applications to higher environments using CI-CD pipelines
- Experience in writing technical user stories.
- Experience in Agile methodology and scrums.
Key responsibilities:
- Design AWS Databricks platform architecture from scratch.
- Design and build ingestion framework, data processing framework, logging & monitoring framework and, data sharing framework.
- Share Databricks best practices.
- Develop data models in different layers of Databricks.
- Design, build and orchestrate data pipelines in AWS and Databricks
- Define strategy for configuration management and CI/CD
- Perform POCs
Communication:
Excellent communication, presentation and client handling skills written and verbal. Should be able to drive technical discussions with client & partners and share technical thought leadership in architecture and design discussions.
Skills:
Python Security Architecture SQLite
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