Azure Data Architect

Job Summary

• Experience of setting up Data Governance, catalogue and self-service in Data Lakehouse
• Influence leaders in development, client operations, and IT infrastructure areas to plan and prioritize work and ensure delivery of business application support.
• Partner with project and product teams to embrace emerging technologies.
• Developing and researching technologies such as Databricks, Fabric, Snowflake, Azure SQL, Data Factory, Azure Key Vault, Entra, Private Endpoints, Azure AI Services, Open AI, Terraform, Azure DevOps, and other related technologies.
• Help define data-centric solutions to meet business requirements.
• Collaborate with development teams on direction and apply depth of knowledge to design strategies, make recommendations for implementation of new systems and technologies, and facilitate the design and implementation of data architecture.
• Perform testing - including defining criteria, creating test scripts and scenarios, debugging, and documenting results.
• Provide ongoing support for applications - including monitoring and processing, handling customer questions and queries, investigating and solving system problems, and providing on-call support services.
• Help create and maintain all required documentation per established processes and methodologies.
• Perform other duties, project work, etc. as needed.

Key Requirements/Qualifications:

• 10 or more years of experience in a data intensive position.
• 5 or more years of architecting solutions in a DevOps first culture.
• Strong working knowledge with cloud storage and compute technologies such as Azure SQL Managed Instance, Cosmos DB, Azure SQL, Azure Synapse, Databricks, Snowflake, Fabric, Data Factory, Azure AI Services, Open AI, or related technologies.
• Strong working knowledge with the DevOps skillset including PowerShell, Terraform, Azure DevOps, Containers, Azure Key Vault, Entra, Private Endpoints, or other related technologies.
• Strong understanding of relational database architecture concepts.
• Proficiency working with Windows platforms with concrete knowledge of system administration/internals.
• Proven analysis and problem-solving skills.
• A successful track record of delivering complex business projects on time.
• Strong communication skills (verbal and written).
• Knowledge of Gen AI, AI/ML Ops, and mlflow is a plus."
• 10 or more years of experience in a data intensive position.
• 5 or more years of architecting solutions in a DevOps first culture.
• Strong working knowledge with cloud storage and compute technologies such as Azure SQL Managed Instance, Cosmos DB, Azure SQL, Azure Synapse, Databricks, Snowflake, Fabric, Data Factory, Azure AI Services, Open AI, or related technologies.
• Strong working knowledge with the DevOps skillset including PowerShell, Terraform, Azure DevOps, Containers, Azure Key Vault, Entra, Private Endpoints, or other related technologies.
• Strong understanding of relational database architecture concepts.
• Proficiency working with Windows platforms with concrete knowledge of system administration/internals.
• Knowledge of Gen AI, AI/ML Ops, and mlflow is a plus."