
Senior Data Solutions Architect
2 weeks ago
About the Role:
We are seeking a highly skilled Data Solutions Architect to lead the design and implementation of scalable, secure, and high-performance data solutions on Databricks.
- Design and develop complex data pipelines and ETL processes on Databricks, leveraging expertise in data modeling, ETL development, and data warehousing concepts.
- Leverage knowledge of modern data architecture and cloud platforms (Azure preferred; AWS/GCP a plus) to create robust and efficient data workflows.
- Collaborate with cross-functional teams to gather requirements and deliver actionable data solutions that meet business needs.
- Optimize data workflows for performance, cost-efficiency, and reliability, ensuring high data availability and integrity.
- Mentor junior engineers and provide technical leadership in data engineering best practices.
- Troubleshoot and resolve issues in data pipelines, ensuring seamless integration of data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- 8+ years of experience in Data Engineering with expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Proven expertise in PySpark, Spark SQL, Scala, and data modeling.
- Strong understanding of big data ecosystems (Hadoop, Kafka, etc.) and solid experience with CI/CD pipelines for data solutions.
In this role, you will have the opportunity to work with a talented team of data professionals and contribute to the development of innovative data solutions. If you are passionate about data engineering and have a strong background in Databricks, we encourage you to apply.
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