Databricks Architect

This role puts you at the center of building and shaping Databricks Lakehouse architectures ’ll design high-performance, cloud-based data platforms, working hands‑on with Spark, Delta Lake, and modern data pipelines. The position combines deep technical ownership with real architectural influence across teams and initiatives. If you want to set standards, solve complex data challenges, and see your decisions drive real impact, this role delivers.

• Demonstrated expertise in data and platform architecture, with a focus on designing and implementing scalable, cloud-based Databricks solutions.
• Strong software engineering background, including hands‑on development, performance tuning, and optimization of Spark-based workloads.
• Proven experience designing and overseeing end‑to‑end data integrations, including ingestion frameworks, data pipelines, and system interoperability across enterprise platforms.
• Ability to lead architectural delivery across the full project lifecycle, partnering with engineering, analytics, and business stakeholders to drive successful outcomes.
• Excellent analytical and problem‑solving skills, with the ability to clearly communicate complex Databricks and data architecture concepts to both technical and non‑technical audiences.
• Hands‑on experience with the Databricks Lakehouse platform, including Delta Lake, notebooks, jobs, and workspace governance.
• Strong knowledge of cloud platforms, modern big data ecosystems, and integrating AI/ML workflows within Databricks environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.