
Databricks Architect
2 days ago
Key Responsibilities:
- Design and develop the migration strategies and processes
- Collaborate with stakeholders to understand business requirements and technical challenges.
- Analyze current data and scope for optimization during the migration process.
- Define the architecture and roadmap for cloud-based data and analytics transformation on Databricks.
- Design, implement, and optimize scalable, high-performance data architectures using Databricks.
- Build and manage data pipelines and workflows within Databricks.
- Ensure that best practices for security, scalability, and performance are followed.
- Implement Databricks solutions that enable machine learning, business intelligence, and data science workloads.
- Oversee the technical aspects of the migration process, from planning through to execution.
- Work closely with engineering and data teams to ensure proper migration of ETL processes, data models, and analytics workloads.
- Troubleshoot and resolve issues related to migration, data quality, and performance.
- Create documentation of the architecture, migration processes, and solutions.
- Provide training and support to teams post-migration to ensure they can leverage Databricks.
Experience:
- 7+ years of experience in data engineering, cloud architecture, or related fields.
- 3+ years of hands-on experience with Databricks, including the implementation of data engineering solutions, migration projects, and optimizing workloads.
- Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with Databricks.
- Experience in end-to-end data migration projects involving large-scale data infrastructure.
- Familiarity with ETL tools, data lakes, and data warehousing solutions.
Skills:
- Expertise in Databricks architecture and best practices for data processing.
- Strong knowledge of Spark, Delta Lake, DLT, Lakehouse architecture, and other latest Databricks components.
- Proficiency in Databricks Asset Bundles
- Expertise in design and development of migration frameworks using Databricks
- Proficiency in Python, Scala, SQL, or similar languages for data engineering tasks.
- Familiarity with data governance, security, and compliance in cloud environments.
- Solid understanding of cloud-native data solutions and services.
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