Databricks Architect

Job Title: Databricks Architect

Location: Dallas, TX

Job Summary

We are looking for an experienced Databricks Architect to lead the design, development, and implementation of scalable data platforms on Databricks. The ideal candidate will have strong expertise in Spark, Delta Lake, data engineering, and cloud platforms (Azure/AWS/Google Cloud Platform), along with proven experience in architecting modern data solutions.

Key Responsibilities

• Design and implement end-to-end data architecture using Databricks Lakehouse platform
• Define data engineering best practices and build scalable ETL/ELT pipelines
• Architect solutions leveraging Apache Spark (PySpark/Scala) and Databricks workflows
• Implement Delta Lake for data reliability, performance, and governance
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Optimize performance, cost, and scalability of data pipelines
• Provide technical leadership, mentoring data engineers and developers
• Ensure data security, governance, and compliance standards are met
• Integrate Databricks with cloud services (Azure, AWS, or Google Cloud Platform) and other enterprise systems
• Support real-time and batch data processing use cases

Required Skills & Qualifications

Technical Skills

• Strong hands-on experience with Databricks Platform
• Expertise in Apache Spark (PySpark / Scala / SQL)
• Experience with Delta Lake, Unity Catalog, and Lakehouse architecture
• Proficiency in data pipelines, ETL/ELT frameworks
• Strong experience in SQL and data modeling
• Hands-on experience with cloud platforms:
• Azure (ADF, ADLS, Synapse) OR
• AWS (S3, Glue, EMR) OR

Data Engineering Concepts

• Data warehousing and data lake solutions
• Batch & real-time data processing
• Data governance and security frameworks
• Performance tuning and optimization

Tools & Technologies

• Databricks Workflows / Jobs
• Airflow / ADF / Prefect (any orchestration tool)
• CI/CD pipelines (Azure DevOps, GitHub Actions)
• Streaming tools like Kafka (preferred)

Preferred Qualifications

• Databricks Certifications (e.g., Databricks Certified Professional / Associate)
• Experience in data migration to Databricks