
Chief Data Solution Specialist
2 weeks ago
As a Data Architect, you will play a pivotal role in designing and implementing scalable, secure, and efficient solutions using Databricks. This is an exceptional opportunity to leverage your technical expertise and passion for data engineering to drive business growth and innovation.
Key Responsibilities:
- Designing and implementing Databricks 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 to ensure efficient resource utilization and cost-effectiveness
- Implementing Databricks security features to ensure data governance and compliance with industry regulations
- Working closely with clients to understand their business requirements and providing technical guidance to deliver high-quality Databricks solutions
- Staying up-to-date with the latest Databricks features, best practices, and industry trends and sharing knowledge with the team
Requirements:
- 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
- Strong background in data engineering, including data warehousing, ETL, and data governance
- Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives
- Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders
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