
Cloud Data Solutions Architect
2 weeks ago
Job Summary:
- Develop and implement scalable, secure, high-performance cloud data solutions using Databricks.
Key Responsibilities:
- Design and build enterprise-level data pipelines and ETL processes on Databricks.
- Lead the architecture and implementation of large-scale data solutions on cloud platforms.
- Collaborate with stakeholders to deliver actionable insights and data-driven solutions.
- Optimize data workflows for performance, cost-efficiency, and reliability on cloud infrastructure.
- Integrate data from multiple sources into Delta Lake and cloud-based data warehouses.
- Implement best practices in data governance, security, quality management, and compliance.
- Provide technical leadership and mentor junior engineers.
- Troubleshoot issues in data pipelines to ensure high data availability and integrity.
Required Skills & Qualifications:
- 7+ years of experience in Cloud Data Engineering.
- Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
- Strong experience with PySpark, Spark SQL, Scala, and cloud platforms.
- Hands-on experience with cloud migration, deployment, and management.
- Proficiency in data modeling, ETL development, data warehousing concepts, and big data ecosystems.
- Solid understanding of cloud security, compliance, and scalability.
- Strong SQL development skills with a focus on performance tuning.
- Experience in implementing CI/CD pipelines and DevOps practices.
Benefits:
- Opportunity to work with cutting-edge technology and innovative solutions.
- Collaborative team environment with opportunities for growth and development.
About Us:
We are a leading provider of cloud data engineering solutions, helping organizations unlock the full potential of their data.
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