Senior Databricks Solution Architect

About the role

We are looking for a Senior Databricks Solution Architect to lead the design and delivery of enterprise‑scale Lakehouse platforms. The role combines deep technical expertise with the ability to guide cross‑functional teams in building robust, cost‑effective data solutions.

Key responsibilities

• Design and architect Databricks Lakehouse solutions for large‑scale enterprise data platforms.
• Lead end‑to‑end Databricks implementation, including architecture, development, deployment, and optimization.
• Define workspace architecture, cluster strategies, security models, and operational standards.
• Develop scalable data pipelines using Databricks, Apache Spark, PySpark, SQL, and Delta Lake.
• Implement data ingestion frameworks supporting batch and real‑time processing.
• Design Delta Lake architectures, including medallion (Bronze/Silver/Gold), data quality frameworks, schema evolution, and optimization.
• Perform performance tuning: cluster, Spark job, query, and cost optimization.
• Implement governance and security using Unity Catalog, access controls, data lineage, and audit capabilities.
• Lead migration projects from legacy data platforms to the Databricks Lakehouse.
• Define best practices for CI/CD, DevOps, and environment management.
• Collaborate with data engineers, data scientists, analysts, and enterprise architects.
• Provide technical guidance, architecture documentation, and design reviews.

Required profile

• Strong experience in data engineering, big data, or solution architecture.
• Hands‑on expertise with the Databricks platform.
• Proven track record designing and delivering enterprise Databricks solutions.
• Experience with cloud platforms (Azure Databricks preferred, AWS Databricks, Google Cloud Databricks).
• Ability to lead technical discussions with enterprise stakeholders.

Required skills

• Databricks Platform
• Apache Spark
• PySpark
• Scala
• Delta Lake
• SQL
• Azure Databricks
• AWS Databricks
• Google Cloud Databricks
• Databricks Workflows
• Jobs orchestration
• Notebooks
• Repos
• Cluster management
• Unity Catalog
• MLflow
• Databricks Machine Learning
• Feature Store
• Model deployment
• MLOps
• Structured Streaming
• Kafka