
Senior Data Solutions Architect
1 day ago
As a seasoned Databricks Engineer, you will design, develop, and maintain sophisticated data pipelines and ETL processes on Databricks. Your expertise will be pivotal in shaping the architecture and implementation of scalable, secure, and high-performance data solutions.
The role involves collaborating with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions. You will optimize data workflows for performance, cost-efficiency, and reliability while ensuring seamless integration of data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
Key Responsibilities:
- Design, Develop, and Maintain Data Pipelines and ETL Processes
- Lead Architecture and Implementation of Scalable Data Solutions
- Collaborate with Business Stakeholders and Data Scientists
- Optimize Data Workflows for Performance and Reliability
- Integrate Data from Multiple Sources into Cloud Data Warehouses
Required Skills & Experience:
- 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
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