Databricks Certified Architect

Hiring: Databricks Certified Architect 
Location: Washington, DC (Onsite)
Experience: 12+ Years

Key Responsibilities

✅ Design and implement enterprise-scale solutions on the **Databricks Lakehouse Platform**.

✅ Architect end-to-end batch and real-time data pipelines using **Apache Spark, PySpark, and Structured Streaming**.

✅ Develop scalable frameworks for data ingestion, transformation, validation, and quality management.

✅ Design and implement **Medallion Architecture (Bronze, Silver, Gold)** utilizing **Delta Lake** and **Delta Live Tables**.

✅ Build and optimize enterprise data warehouses, data marts, and advanced analytics platforms.

✅ Implement data governance, security, lineage, and access controls using **Unity Catalog**.

✅ Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.

✅ Configure and optimize **Databricks Genie Spaces** to enable conversational analytics and natural language business queries.

✅ Design and deploy **Generative AI** and **RAG (Retrieval-Augmented Generation)** solutions using **Databricks Mosaic AI** and **Vector Search**.

✅ Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.

✅ Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.

✅ Define architecture standards, best practices, and reusable design patterns across the organization.

✅ Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.

Technical Skills

✔ Databricks Lakehouse Platform

✔ Apache Spark, PySpark, Spark SQL

✔ Python and SQL

✔ Delta Lake, Delta Live Tables (DLT), Lakeflow

✔ Unity Catalog

✔ Databricks AI/BI and Genie

✔ Mosaic AI, Vector Search, RAG Architecture

✔ Data Modeling (Dimensional Modeling & Data Vault)

✔ Structured Streaming

✔ Data Quality, Data Governance, and Data Lineage

✔ Microsoft Azure

✔ Terraform, Git, Azure DevOps, Jenkins

✔ REST APIs and Enterprise Data Integration

✔ Performance Tuning and Cost Optimization

Preferred Experience

Building AI-powered analytics and conversational BI solutions

Implementing enterprise RAG architectures using Vector Search

Designing semantic models and trusted data assets for self-service analytics

Supporting AI use cases through Mosaic AI model serving and inference endpoints

Enterprise cloud modernization and large-scale data platform migrations

  Certification

**Azure Databricks Certified Data Engineer Professional** (Mandatory)

Additional Databricks Architect and Azure certifications are highly desirable