Job Description We are seeking an experienced Databricks Architect to lead the design, implementation, and optimization of our enterprise data and AI platform. The ideal candidate will have strong expertise in Databricks, cloud platforms (Azure/AWS/GCP), and big data ecosystems, with a proven track record of architecting scalable and secure solutions. Key Responsibilities • Design, architect, and implement end-to-end data and AI solutions using Databricks and related ecosystem tools. • Define architecture standards, best practices, and governance for Databricks-based data platforms. • Collaborate with business stakeholders, data engineers, data scientists, and analysts to design efficient and scalable data pipelines. • Optimize data processing, performance, and cost-efficiency across cloud and Databricks environments. • Lead migration projects from legacy systems to Databricks/Lakehouse architectures. • Ensure solutions meet enterprise-grade standards for security, compliance, and data quality. • Mentor junior engineers and provide architectural guidance to technical teams. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 6–9 years of overall IT experience, with at least 3–4 years in Databricks architecture and development. • Hands-on expertise with Databricks Lakehouse, Delta Lake, Spark, and MLflow. • Strong experience with SQL, Python, or Scala for data engineering and advanced analytics. • Proven background in cloud platforms (Azure, AWS, or GCP) with focus on data services (e.g., Azure Data Lake, AWS S3, BigQuery, Synapse, Redshift). • Deep understanding of data modeling, ETL/ELT design, and data governance frameworks. • Experience integrating Databricks with enterprise systems (data warehouses, BI tools, APIs). • Strong communication and stakeholder management skills. • Experience with CI/CD, DevOps for Data (Databricks Repos, GitHub Actions, Azure DevOps, Jenkins, etc.). • Knowledge of machine learning pipelines and operationalizing ML in Databricks. • Certifications in Databricks, Azure, AWS, or GCP. • Experience in leading large-scale data migration/modernization projects.