Jobs → Data & Analytics → Databricks Architect

About the Role We are seeking a Databricks Architect for a 6–12 month contract-to-hire position. This role requires extensive experience in data engineering, data architecture, and platform engineering, with a strong focus on Databricks architecture. Key Responsibilities • Design and implement scalable data solutions using Databricks, PySpark, Python, SQL, Delta Lake, Unity Catalog, and Delta Live Tables • Lead code reviews and mentor junior team members • Debug production code and explain technical logic • Ensure data governance, security, and data modeling best practices are followed • Optimize performance and reduce costs in enterprise-scale data platforms • Collaborate with cloud platforms (Azure, AWS, GCP) and implement CI/CD pipelines Requirements • 7+ years of experience in Data Engineering, Data Architecture, or Platform Engineering • 3+ years of hands-on experience with Databricks architecture • Strong knowledge of Lakehouse/Medallion architecture, data governance, security, and data modeling • Experience with Terraform, CI/CD, Git, and automated testing • Expertise in performance tuning, cost optimization, and enterprise-scale data platforms • Must be able to debug production code, explain technical logic, and lead code reviews • Databricks Certification: Databricks Certified Data Engineer Professional or Databricks Solutions Architect certification preferred • Cloud certifications such as Azure Solutions Architect, AWS Solutions Architect, or GCP Professional Data Engineer are a plus