Senior Data Architect
About The Position
More than 12+ years of IT experience Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more) Deep knowledge of data modeling, data warehousing, and lakehouse patterns Hands‑on experience with at least one modern data platform: Microsoft Fabric and/or Databricks strongly preferred 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 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 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.
Requirements
- 12+ years of IT experience
- Experience with Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI)
- Experience with Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
- Experience with Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more)
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands‑on experience with at least one modern data platform: Microsoft Fabric and/or Databricks strongly preferred
- 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 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
- Data Architect
- Data warehouse
- Lakehouse (Databricks or Microsoft Fabric)
- Datalake
- ADF/Synapse/Data Pipelines(ETL/ELT)
- Strong SQL and Pyspark knowledge
- CI/CD Experience
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
