Lead enterprise data platforms with Sigmoid Analytics in Toronto, Canada. This senior Solutions Architect role focuses on cloud-native lakehouse architecture and data engineering best practices.
Sigmoid Analytics seeks an experienced Engineering Leader/Solutions Architect to modernize and scale enterprise data platforms. This in office position requires profound knowledge in data engineering, distributed processing, and technical leadership. Key responsibilities include designing interoperable data architectures leveraging Snowflake and Databricks, and establishing engineering excellence and governance best practices.
Key Responsibilities:
• Define a unified cloud-native data platform roadmap • Architect scalable lakehouse solutions using Snowflake/Databricks • Build large-scale data platforms with batch and streaming capabilities • Establish CI/CD and Infrastructure as Code best practices • Drive platform reliability and continuous operational improvements
Requirements: • 15+ years in software, data, or platform engineering • Proven transition from engineering to technical leadership • Strong knowledge of Python/SQL and Apache Spark • Hands-on experience with Apache Iceberg • Stakeholder management skills in global settings
Shape the future of data architecture and engineering at Sigmoid in Toronto. #J-18808-Ljbffr