
Databricks Solutions Architect
3 days ago
Job Type: Full-Time, 100% Remote
About the Role:
We are seeking an experienced Databricks Solutions Architect to help design and implement scalable, high-performance data solutions. The ideal candidate has hands-on experience in Databricks production environments and a deep understanding of modern data architecture.
Key Responsibilities
- Design and develop data pipelines and ETL processes on Databricks.
- Lead the architecture and implementation of secure and high-performance data solutions.
- Collaborate with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.
- Optimize data workflows for performance, cost-efficiency, and reliability.
- Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
- Mentor junior engineers and provide technical leadership in data engineering best practices.
Required Skills & Experience
- 6-7 years of experience in Data Engineering.
- Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Strong experience with PySpark, Spark SQL, and Scala.
- Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus).
- Proficiency in data modeling, ETL development, and data warehousing concepts.
- Solid understanding of big data ecosystems (Hadoop, Kafka, etc.).
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines for data solutions.
Benefits
This is a great opportunity to work with a talented team and contribute to the development of innovative data solutions.
Others
The ideal candidate will have excellent communication and problem-solving skills, and be able to work effectively in a fast-paced environment.
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