Job DescriptionTitle: Data Engineer
Location: USA
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
