Azure Cloud Architect

Cloud Architecture / Team Lead

Long Term Contract

Remote

W2 Only

Key Responsibilities

• Cloud Architecture and Strategy: Define and lead the overall cloud data architecture and strategy, establishing standards for scalability, resilience, and performance.
• Data Platform Architecture: Oversee the design and deployment of the data warehouse platform, including data ingestion, transformation, storage patterns, lakehouse architecture, and data retention policies.
• Project and Portfolio Management: Manage multiple data integration projects and enhancement requests using Agile project management practices and Azure DevOps.
• Business Requirements and Change Management: Translate business requirements into actionable tasks for the data engineering team, track progress, analyze outcomes, and communicate project status, risks, and milestones.
• Budget and Contract Management: Coordinate with the program manager to develop and manage annual budgets, monitor staff hours and performance, and prepare weekly and monthly status reports and invoices.
• Program Governance: Establish and implement data engineering standards, data governance practices, and stakeholder engagement frameworks.
• Documentation and Engineering Standards: Improve engineering standards, technical documentation, business logic documentation, and process transparency.
• Data Integrations and APIs: Lead the implementation of data integrations involving APIs, batch feeds, streaming data, and SFTP file transfers. Establish API management strategies and data transfer best practices.
• Resource Monitoring and Cost Optimization: Monitor and troubleshoot Power BI Premium Capacity usage and Azure Synapse performance, including CPU utilization, job scheduling, pipeline failures, and compute scaling.
• Security and Compliance: Implement platform security architecture, including identity and access management (IAM), role-based access control (RBAC), and key management.
• Team Leadership: Coordinate data engineering activities, manage project priorities, and ensure timely delivery of agreed-upon enhancements and integrations.

Required Technical Skills

• Microsoft Azure cloud platform
• Azure Synapse Analytics
• Azure Data Factory
• Azure SQL
• Azure Databricks
• Azure DevOps
• Relational databases, including Microsoft SQL Server
• Microsoft Power Platform, including Power BI, Power Apps, and Power Automate
• Data warehouse and lakehouse architecture
• Data integration, ETL/ELT pipelines, and API integrations
• Agile project delivery and project management
• Cloud security, IAM, and RBAC

Key Deliverables

• Lead new data integrations and enhancements for the ADAW platform.
• Oversee the architecture and performance of cloud-based data warehouse components.
• Manage project plans, user stories, milestones, and implementation tracking through Azure DevOps.
• Troubleshoot platform issues and implement performance and scalability improvements.
• Establish engineering standards, governance practices, and technical documentation.
• Coordinate with stakeholders and the data engineering team to ensure delivery of project requirements.