Seeking a Databricks Architect to lead the design and delivery of large-scale data platforms using Databricks.

Key Responsibilities

• Architect and implement Databricks lakehouse solutions (Delta Lake, Spark, Unity Catalog, MLflow).
• Design and optimize ETL/ELT pipelines, data ingestion, and real-time streaming frameworks.
• Integrate Databricks with cloud services (AWS, Azure, GCP) and enterprise data systems.
• Establish data governance, security, and compliance frameworks.
• Lead migration efforts from legacy platforms to Databricks.
• Collaborate with business stakeholders, data engineers, and data scientists to deliver end-to-end solutions.

Required Skills

• Proven hands-on experience as a Databricks Architect / Senior Data Engineer.
• Strong experience with data pipelines including Cribl, Confluent and other high capacity data interchange
• Strong expertise in Databricks ecosystem (Spark, Delta Lake, SQL Analytics, MLflow).
• Cloud experience (Azure Databricks preferred, AWS/GCP acceptable).
• Strong coding background in Python, PySpark, SQL, Scala.
• Knowledge of data security, compliance, and governance standards.
• U.S. work authorization; must be based onshore.

Preferred

• Databricks certifications.
• Experience with BI tools (Power BI, Tableau) and automation/DevOps (Terraform, GitHub Actions, Jenkins).
• Prior consulting/enterprise implementation experience.

• Architect and implement Databricks lakehouse solutions (Delta Lake, Spark, Unity Catalog, MLflow).
• Design and optimize ETL/ELT pipelines, data ingestion, and real-time streaming frameworks.
• Integrate Databricks with cloud services (AWS, Azure, GCP) and enterprise data systems.
• Establish data governance, security, and compliance frameworks.
• Lead migration efforts from legacy platforms to Databricks.
• Collaborate with business stakeholders, data engineers, and data scientists to deliver end-to-end solutions