
Chief Data Engineer
7 days ago
We are seeking an experienced data architect to join our team. The ideal candidate will have a strong background in data engineering, including data warehousing, ETL, and data governance.
The successful candidate will be responsible for designing and implementing scalable, secure, and efficient Databricks solutions that meet client requirements. This includes developing data pipelines, architecting data lakes, and implementing data warehousing solutions using Databricks.
Collaboration with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks is also a key aspect of this role. Additionally, the Data Architect will optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
A strong understanding of industry regulations and compliance is essential, as well as experience leading technical teams, mentoring junior engineers, and driving technical initiatives.
The ideal candidate will 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 are also required.
Please note that certifications such as Databricks Certified Professional and experience working with cloud platforms like AWS, Azure, or GCP are considered desirable but not mandatory.
Main Responsibilities:- Design and implement scalable, secure, and efficient Databricks solutions
- Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks
- Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks
- Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness
- Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations
- Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions
- Stay up-to-date with the latest Databricks features, best practices, and industry trends, and share knowledge with the team
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