
Principal Data Solutions Architect
2 days ago
Job Title: Databricks Engineer
About the Role:
We're seeking an experienced Data Architect to design and implement scalable, high-performance data solutions using Databricks.
You'll work closely with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.
- Design and Develop Data Pipelines: Create efficient and reliable data pipelines on Databricks, utilizing your expertise in PySpark, Spark SQL, and Scala.
- Lead Architecture and Implementation: Drive the development of secure, scalable, and high-performance data solutions, integrating data from multiple sources into Delta Lake and cloud data warehouses.
- Collaborate with Stakeholders: Work with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data insights.
- Troubleshoot and Optimize: Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity, and optimize workflows for performance, cost-efficiency, and reliability.
Required Skills & Experience:
- Data Engineering Expertise: 6-7 years of experience in Data Engineering with a strong background in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Cloud Platform Experience: Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus) and proficiency in data modeling, ETL development, and data warehousing concepts.
- Big Data Ecosystem: Strong understanding of big data ecosystems (Hadoop, Kafka, etc.) and solid SQL development skills with a focus on performance tuning.
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