About this role
The team is seeking an experienced Databricks Architect to design and implement scalable, secure, and high-performance data platforms using Databricks and Apache Spark. The ideal candidate will have a strong background in data architecture and cloud platforms, with a focus on data engineering and Lakehouse architecture.
Key Responsibilities:
- Design and implement enterprise-scale data solutions using Databricks and Apache Spark.
- Develop and maintain data pipelines and workflows to ensure data integrity and accessibility.
- Collaborate with cross-functional teams to define data architecture and governance standards.
- Optimize data processing performance and scalability of data platforms.
- Provide technical leadership and mentorship to junior data engineers and architects.
- Stay current with industry trends and best practices in data engineering and analytics.
Required Skills & Qualifications:
- Strong expertise in Databricks and Apache Spark.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficient in data modeling, ETL processes, and data warehousing concepts.
- Familiarity with Lakehouse architecture and modern data engineering practices.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- Minimum of 6-9 years of experience in data architecture and engineering roles.
What we offer:
- Opportunity to work on cutting-edge data technologies in a collaborative environment.
- Professional development and growth opportunities.
- A dynamic and supportive team culture.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.