Data Engineer

Exp: 5+

7 + years of IT experience Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Nice to have Fabric, Snowflake, Synapse, BigQuery - experience)

Deep knowledge of data modeling, data warehousing, and lakehouse patterns Hands-on experience with at least one modern data platform: Experience integrating data platforms with applications using APIs, services, or event-driven patterns Solid understanding of cloud architecture concepts (security, networking, scalability, cost management) Strong communication skills with the ability to engage both technical and business stakeholders Experience working in client-facing or consulting environments

• Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, or related field
• 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience

• Deep hands on experience with Databricks Lakehouse Platform and Apache Spark Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL

• Experience implementing Unity Catalog, data governance, and enterprise security controls
• Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks
• Familiarity with CI/CD, DevOps, and automation for Databricks workloads
• 8-12+ years in data engineering or architecture, with 4-5+ years delivering Databricks solutions
• Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication