Senior Data Architect

• 10+ 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 AND 
• 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 

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.