Note: The job is a remote job and is open to candidates in USA. Hexion Inc. is a global employer committed to producing innovative performance materials for critical industries. They are seeking a Senior Azure Data & Platform Engineer to lead the design, implementation, and production support of enterprise data integrations using Azure services.

Responsibilities

• 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
• 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
• 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
• 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
• 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

Skills

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
• 7+ years of experience in data engineering, data integration, and production support (cloud and/or hybrid environments)
• Strong hands-on expertise with Azure data services and integration patterns (ADF, ADLS, Azure SQL, Databricks, Logic Apps)
• Proven experience designing and implementing Azure Data Factory pipelines and broader Azure data integration solutions
• Strong understanding of ETL, data integration, data warehousing, and production support practices
• Ability to partner with cloud platform, security, and networking teams to meet requirements for connectivity, identity, and controls needed by data workloads
• Working knowledge of Entra ID and Azure IAM concepts (RBAC, managed identities, service principals) as they apply to securing data pipelines and services
• Proficiency in SQL, Python, and PySpark
• Strong troubleshooting, communication, and collaboration skills, with the ability to operate effectively in fast-moving environments
• Experience with Azure SQL Database, ADLS, Databricks, and Power BI
• Experience with Infrastructure-as-Code (Terraform and/or Bicep) and automating deployments for data platforms
• Exposure to AI/ML, agentic AI, or automation-heavy Azure workloads
• Experience supporting secure multi-vendor Azure environments
• Familiarity with Azure monitoring, logging, and disaster recovery patterns
• Experience implementing or operationalizing controls aligned to ISO/IEC 27018 (protection of personally identifiable information in public clouds) is a plus
• Familiarity with SAP platforms (ECC R/3, S/4HANA, BW, and Datasphere), especially in the context of integrating SAP data into Azure
• Azure certifications such as Azure Solutions Architect Expert
• Databricks certifications such as Data Engineer Associate or Professional
• Databricks accreditations such as Databricks Fundamentals, Azure Platform Architect, or Platform Administrator
• AWS experience is a plus

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