We are seeking a Data Architect - Azure with 15+ years of experience in data solutions design and development. The candidate should have at least 2+ years of experience working as a Lead Data Architect for medium to large-sized projects or proposals. This role requires strong hands-on expertise in Azure data services and the ability to lead the architecture and design of complex data systems.
Key Responsibilities:
- Client Interaction: Design, develop, and discuss data architecture solutions and related issues with client architects/teams.
- Data Lifecycle Management: Analyze and assess the impact of requirements on data and its lifecycle, while leading data architecture design for medium to complex data analytics applications and systems.
- Azure Data Services: Strong hands-on experience in at least two or more of the following services:
- Azure SQL Database
- Azure SQL Managed Instance
- Azure Data Lake Store
- Azure Cosmos DB
- IoT/Event Hub
- Data Engineering: Define and implement end-to-end data engineering solutions using at least two or more of the following:
- Azure Data Factory
- Azure Databricks
- Azure API for Data
- Logic Apps
- T-SQL
- Solution Design: Experience in designing and developing one or more of the following:
- Azure Synapse Analytics or Snowflake on Azure solutions
- Data Migration to Azure
- Azure Analysis Services, Power BI, or Tableau for analytical reporting
- Big Data Solutions using HDInsight, Spark-Scala Batch/Micro-Batch, or Kafka-based Streaming
- Azure ML/AI or other analytical/data science solutions (Python/R/SAS, etc.)
- Expertise in Data Governance with tools like Azure Purview
- DevOps Implementation: Exposure to Azure DevOps, DevSecOps, or DataOps methodologies is preferred.
- Technology Leadership: Drive technology design meetings, propose technology solutions, and ensure robust architecture development.
- Broad Experience: Demonstrate experience across various client scenarios and technology landscapes.