
Databricks Solutions Architect
3 days ago
Design, develop and maintain scalable, high-performance data solutions using Databricks.
- Key Responsibilities:
- Develop efficient data pipelines and ETL processes on Databricks.
- Lead the architecture and implementation of secure, scalable and high-performance data solutions.
- Collaborate with teams to gather requirements and deliver actionable data solutions.
- 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.
- 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.
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Chief Databricks Data Architect
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Senior Data Solutions Architect
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Data Architect
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Data Solutions Architect
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Data Architect
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Data Architect
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Data Architect
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Cloud Data Solutions Architect
7 days ago
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