
Cloud Data Architect
2 days ago
Job Title: Cloud Data Architect
">About the Role:
">We are seeking an experienced cloud data architect with a strong background in designing and implementing scalable, high-performance data solutions on Databricks.
">The ideal candidate has hands-on experience in Databricks production environments and a deep understanding of modern data architecture.
">You will work with cross-functional teams to create robust data pipelines and ensure the reliability, quality, and observability of data across platforms.
">- Design, develop, and maintain data pipelines and ETL processes on Databricks.">
- Lead the architecture and implementation of scalable, secure, and high-performance data solutions.">
- Collaborate with business stakeholders, data scientists, and analysts 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.">
- Implement best practices in data governance, security, and quality management.">
- Mentor junior engineers and provide technical leadership in data engineering best practices.">
- Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.">
Required Skills & Experience:
">- 6-7 years of experience in Cloud Data Architecture.">
- Proven Subject Matter 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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