
Senior Data Solutions Architect
22 hours ago
We are seeking an experienced data professional to lead our team in designing and implementing scalable, secure, and efficient solutions on the Databricks ecosystem.
The ideal candidate will be responsible for:
- Designing and implementing solutions that meet client requirements
- Developing data pipelines, architecting data lakes, and implementing data warehousing solutions using Databricks
- Collaborating with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks
- Optimizing Databricks cluster performance and ensuring efficient resource utilization and cost-effectiveness
- Implementing Databricks security features, ensuring data governance, and maintaining compliance with industry regulations
The successful Data Architect will have a strong background in data engineering, including data warehousing, ETL, and data governance.
They should possess:
- 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics
- Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake
- A proven track record of leading technical teams, mentoring junior engineers, and driving technical initiatives
Bonus points if you have:
- Databricks Certified Professional certification
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Knowledge of machine learning concepts and experience with popular ML libraries
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Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000About the RoleWe are seeking a seasoned Data Solutions Architect to design, develop, and maintain large-scale data pipelines and ETL processes on Databricks. The ideal candidate will lead the architecture and implementation of scalable, secure, and high-performance data solutions that meet the needs of our organization.
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