Senior Data Architect
12 hours ago
We are looking for a highly experienced Senior Data Architect to lead our data engineering team. As a key member of our organization, you will be responsible for designing, developing, and maintaining data pipelines in Databricks on an AWS 6 ecosystem with Delta Lake, Python, SQL, and Starburst as the technology stack.
In this role, you will work closely with cross-functional teams to understand data needs and translate them into effective data pipeline solutions. You will also establish data quality checks, ensure data integrity and accuracy throughout the data lifecycle, automate testing of the data pipelines, optimize data processing and query performance for large-scale datasets within AWS and Databricks environments, document data engineering processes, architecture, and configurations, troubleshoot and debug data-related issues on the AWS Databricks platform, and integrate Databricks with other AWS products such as SNS, SQS, and MSK.
Key Responsibilities:
- Lead the design, development, and maintenance of data pipelines in Databricks on an AWS 6 ecosystem.
- Work closely with cross-functional teams to understand data needs and translate them into effective data pipeline solutions.
- Establish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.
- Automate testing of the data pipelines and configure as part of CICD.
- Optimize data processing and query performance for large-scale datasets within AWS and Databricks environments.
- Document data engineering processes, architecture, and configurations.
- Troubleshoot and debug data-related issues on the AWS Databricks platform.
- Integrate Databricks with other AWS products such as SNS, SQS, and MSK.
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