Senior Data Architect
Datavail Corporation
United States
about 2 months ago
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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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