Senior Data Architect

Datavail Corporation
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) BigQuery Cloud Engineering Continuous Integration Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Warehousing Power BI Standard Sql Software Engineering
+11 more
SQL Databases Enterprise Data Management Computer Network Operations Snowflake Microsoft Fabric Data Lakes Pyspark Information Technology Azure Synapse Analytics Data Pipelines Databricks

Requirements

Do you have experience in IT department experience?, * 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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