Solution Architect

Responsibilities:

• Design end-to-end cloud-native data architectures using AWS and Databricks.
• Architect scalable batch and real-time data processing solutions using Apache Kafka and streaming technologies.
• Lead the design and implementation of enterprise data engineering pipelines and data platforms.
• Define architecture standards, best practices, and governance for data integration and analytics solutions.

Qualifications:

• 8+ years of experience in software, data engineering, or solution architecture.
• Strong experience designing enterprise data platforms on AWS.
• Hands-on expertise with Databricks and the Lakehouse architecture.
• Experience implementing Apache Kafka for real-time event streaming.

Preferred Qualifications:

• Experience with AI/ML platforms or deploying machine learning solutions into production.
• Experience with Delta Lake, Spark Structured Streaming, or similar technologies.
• AWS certification is preferred.