Senior IT Analyst

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.  

Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place.

About you and this role

Dow has an exciting opportunity for an Azure Platform Engineer (Sr. IT Analyst) located in Midland, MI or Houston, TX.

You will:

• Make significant technical contributions to critical data initiatives within our team at Dow.
• Be responsible for designing, implementing, and maintaining data platforms and analytics solutions on the Azure cloud platform to enable business objectives and accelerate Dow's digital transformation. 
• Focus on developing scalable and efficient data processing pipelines, implementing data integration and transformation processes, and ensuring the availability, security, and performance of data and analytics solutions. 
• You will be working with a cross-functional team that includes Data Engineers, Analytics Engineers, and Machine Learning Engineers while using: 
  • Azure DevOps 
  • PowerShell 
  • Python 
  • Azure Cloud 
  • Azure Databricks 

Responsibilities

• Designs, implements, and maintains scalable and reliable Azure cloud infrastructure to support our modern data platform   
• Collaborates with a diverse team to build and enhance our data platform to enable data collection, processing, access, usability, and monitoring 
• Deploys Azure services using Infrastructure as Code and Azure DevOps  
• Develops and deploys scalable and efficient data processing pipelines using Azure Data Factory and Azure Databricks 
• Works with cross-functional teams to develop and implement cloud-based solutions in the Application Development Lifecycle (Development / Test / Production)  
• Ensures maintenance of Infrastructure as Code libraries  
• Continuously explores and adopts new technologies and best practices to improve our data infrastructure  
• Provides technical expertise and guidance to team members and stakeholders   
• Ensures Change Management and Configuration Management standards are implemented and executed  
• Ensures technical, architecture, and application designs aligns to company IT architecture and security standards 

Core Technical Expertise 

• DevOps or DevSecOps: Experience building and deploying cloud solutions that adhere to the core principles of DevOps or DevSecOps processes and tools 
• Concepts, how to, and best practices, along with hands on knowledge and experience in:   
• DevOps practices and tools, understanding of software development lifecycle (SDLC), and familiarity with cloud services and infrastructure  
• Infrastructure as Code (e.g. Bicep, Terraform, ARM)   
• Strong knowledge of Azure cloud services and architecture 
• General understanding of digital industry trends including Cloud/SaaS, Analytics, Social, and Security/Risk Management, and Internet of Things    
• Databricks Platform Proficiency, including its components like Databricks SQL, Delta Live Tables, Databricks Repos, and Task Orchestration 
• Cloud Orchestration: Expertise in using Azure Data Factory (ADF), Databricks Workflows, or equivalent tools (e.g., Airflow) for complex dependency management, error handling, and end-to-end pipeline orchestration. 
• Agility: Demonstrated knowledge and experience in Agile software development methodologies and work processes, especially Scrum  

Engineering Mindset and Professional Growth 

• Technical Design Contribution: Ability to rapidly synthesize information and contribute clear, well-documented technical specifications and architectural diagrams to the design process. 
• Feature Ownership: Demonstrated history of taking ownership of complex features and modules within larger projects, driving them to completion, and managing technical dependencies autonomously.