Databricks Architect

Job description

- **10+ years** experience with a **strong Data Engineering background** (ETL/ELT, distributed compute, production-grade pipelines). - **4+ years** hands-on Databricks experience in architecture/technical leadership roles. - Strong experience in **Apache Spark** (PySpark/Scala), **Delta Lake**, pipeline design, and performance tuning. - Experience with data orchestration and DevOps practices (Git, CI/CD, testing frameworks). - Experience designing secure data platforms (RBAC, secrets, network/security integration, compliance considerations). - Strong customer-facing skills: requirements discovery, solution design, and stakeholder management. **Good to Have** - Streaming experience (Kafka/Event Hubs, Structured Streaming, CDC patterns). - ML/AI enablement experience (MLflow, feature engineering, model lifecycle) as it relates to platform design. - Cloud certifications or platform-specific certifications.