Position Summary Lead the Azure pillar within the Data Engineering CoE, establishing technical standards, best practices, and reusable accelerators for Azure data platform implementations. This role will directly support high-value opportunities in our pipeline
Key Responsibilities Develop architecture patterns and implementation accelerators for Azure data platforms Establish best practices for Azure Synapse, Data Factory, Azure Databricks, and other Azure data services Support pre-sales activities for Azure-based opportunities, particularly AIMajodouie and Anthology Design migration pathways from legacy systems to Azure Create technical documentation and playbooks for Azure implementations Mentor junior team members on Azure best practices Work with cloud-agnostic platforms (Databricks, Snowflake) in Azure environments Collaborate with other pillar architects on cross-platform solutions Build customer relationships as a trusted technical advisor for Azure implementations
10+ years of data engineering experience with 5+ years focused on Azure Deep expertise in Azure Synapse Analytics, Azure Data Factory, and Azure Databricks Experience with Azure data lake implementations (ADLS Gen2) Strong knowledge o
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: DBA / Data warehousing Role: Data warehouse Architect / Consultant Employement Type: Full time