Senior Azure Data & Platform Engineer

Job Responsibilities

Azure Data Engineering & Integration 

• Lead the design, development, and implementation of Azure Data Factory pipelines, Azure Logic Apps workflows and related Azure data solutions to meet business requirements. 
• Collaborate with business, architecture, and technical teams to translate data requirements into Azure integration deliverables. 
• Develop and enforce best practices for data pipeline development, ETL processes, data quality, governance, and documentation. 
• Optimize, monitor, and troubleshoot existing pipelines to improve performance, reliability, and maintainability. 
• Support integrations across Azure services such as Azure SQL Database, Azure Data Lake Storage, Azure Databricks, and Power BI. 

Data Platform Enablement (Azure) 

• Coordinate with platform teams to onboard data workloads into approved Azure environments (subscriptions/resource groups), ensuring required standards (naming, tagging, logging) are met. 
• Define repeatable environment and deployment patterns for data products (dev/test/prod), including configuration, secrets, and release boundaries for internal teams and vendors. 
• Ensure prerequisite platform capabilities are available for data delivery (e.g., access to ADLS, Azure SQL, Databricks workspaces), partnering with owners to provision when needed. 
• Apply governance guardrails for data workloads (policies/controls, logging, and cost visibility) and validate that deployments remain compliant over time. 
• Monitor and optimize the cost/performance of data services (e.g., ADF, Databricks, storage) using tagging/chargeback practices, budget alerts, and right-sizing recommendations. 

Secure Data Access, Identity & Governance 

• Define least-privilege access patterns for data services (ADF, ADLS, Azure SQL, Databricks) using Entra ID, managed identities, service principals, and RBAC—then work with administering teams to implement required changes. 
• Implement secure secret handling (Key Vault), encryption, and credential rotation approaches for pipelines and integrations. 
• Partner with network teams to meet private connectivity requirements (private endpoints, routing, firewall rules) for data sources and targets. 
• Ensure data integrations are production-ready and auditable (logging, lineage/documentation where applicable) and aligned to enterprise security and governance requirements. 

Infrastructure Automation & Operations 

• Implement Infrastructure-as-Code using Terraform and/or Bicep. 
• Create and support CI/CD integration for both infrastructure and application or data deployments. 
• Set up monitoring, logging, alerting, and basic break-fix support using Azure-native tools. 
• Support disaster recovery planning and operational readiness for Azure resources and data services. 

Vendor Enablement & Delivery Leadership 

• Support vendor onboarding into Azure environments, including access, permissions, deployment boundaries, and operational guardrails. 
• Ensure external and internal teams can deploy and operate safely without impacting core enterprise workloads. 
• Work closely with Hexion leads, architects, and vendors to unblock delivery and accelerate execution. 
• Mentor junior team members and help drive engineering maturity, documentation quality, and continuous improvement across the environment.