Experience in implementation/migration projects on Databricks; Databricks Certification is a big positive.
Intermediate to Advanced working knowledge of Spark is required.
Hands-on experience with advanced SQL, and at least one of Python, Scala, or Java.
Expertise in at least one of the data engineering personas: Data Engineering, Data Analytics, or BI/ML Engineering.
Hands-on experience with at least one of the Public Clouds (AWS, Azure, GCP) and its native Data Managed Services.
Familiarity with cloud architecture concepts, including networking, security, and IAM is necessary.
Responsibilities:
The Solution Architect is responsible for designing and implementing technical solutions to meet the business requirements of the organization.
They work closely with business stakeholders, project managers, developers, and other IT teams to translate business needs into scalable, reliable, and high-performance technology solutions.
They ensure technical solutions align with the overall enterprise architecture and comply with best practices and industry standards.