
Chief Data Solutions Engineer
2 days ago
We are seeking a highly skilled Data Architect to join our team. As a key member of our organization, you will be responsible for designing and implementing scalable, secure, and efficient data solutions.
Your primary focus will be on developing data pipelines, architecting data lakes, and implementing data warehousing solutions using Databricks.
You will collaborate with cross-functional teams to understand business requirements and provide technical guidance to deliver high-quality data solutions.
Key responsibilities include:
- Data Solution Architecture: Design and implement scalable, secure, and efficient data solutions that meet client requirements.
- Data Engineering: Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks.
- Data Analytics: Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.
- Performance Optimization: Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
- Security and Governance: Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.
The ideal candidate will have 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics. They will also have strong technical skills, including proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
Additionally, the successful candidate will have excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders. Experience leading technical teams, mentoring junior engineers, and driving technical initiatives is highly desirable.
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