Data Engineer

Datavail is a leading provider of data management, application development, analytics, and cloud services. The Data Engineer role involves deep knowledge of data modeling and cloud architecture, requiring hands-on experience with modern data platforms and the ability to engage with both technical and business stakeholders.

Responsibilities:

• 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

Requirements:

• 7 + years of IT 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
• Nice to have Fabric, Snowflake, Synapse, BigQuery – experience