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You will be updated with latest job alerts via emailPosition 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 highvalue
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 presales activities for Azurebased 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 cloudagnostic platforms (Databricks Snowflake) in Azure environments
Collaborate with other pillar architects on crossplatform solutions
Build customer relationships as a trusted technical advisor for Azure implementations
Qualifications :
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 of data integration patterns and ETL/ELT frameworks
Experience with migration from legacy systems to Azure
Microsoft certified Azure Data Engineer Associate or higher
Experience developing reusable templates and accelerators
Strong coding skills in Python Spark and SQL
Experience with Azure DevOps ARM templates or other infrastructure as code approaches
Excellent communication skills and clientfacing experience
Technical Stack:
Azure Core Services: Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Gen2
Data Warehouse: Azure Synapse Analytics Azure SQL Database
Data Processing: Azure Databricks Synapse Spark Azure HDInsight
ETL/ELT: Azure Data Factory Synapse Pipelines Azure Databricks notebooks
Orchestration: Azure Data Factory Logic Apps
Streaming: Event Hubs Stream Analytics
ML Integration: Azure Machine Learning Azure Databricks ML
Languages: Python SQL Scala .NET
DevOps: Azure DevOps GitHub Actions
Infrastructure as Code: Bicep ARM Templates Terraform
Monitoring: Azure Monitor Application Insights
Certifications: Microsoft Certified: Azure Data Engineer Associate Azure Solutions Architect
Additional Information :
Impact Expectations
Create 23 Azure accelerators for common implementation patterns in the first 90 days
Develop technical proposal components for Azurebased opportunities
Establish Azure architecture frameworks aligned with Microsoft best practices
Remote Work :
Yes
Employment Type :
Fulltime
Remote