Senior Data Architect

Datavail Corporation

  • Boulder, CO
  • 30+ days ago

    Highlights

    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. 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).

    Numbers & Facts

    LocationBoulder, CO

    Description

    • 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

    Key Skills:

    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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