[Remote] Senior Azure Data & Platform Engineer
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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