Solution Manager

Dow Chemical • Midland, TX

1d

About The Position

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. Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com . About you and this role Dow has an exciting opportunity for an Azure Solution Manager locate in Midland, MI or Houston, TX . The successful candidate will serve as a technical leader responsible for the end-to-end architectural design and strategic implementation of our most complex and high-profile innovative data initiatives. This role requires deep technical mastery to support, build, and enhance Dow’s Azure Databricks Lakehouse Platform. You will be critical in shaping the data landscape, ensuring our architecture is reliable, cost-effective, and ready to power advanced, high-impact applications across the business, including: Mission-Critical Machine Learning (ML) Solutions Real-Time and Streaming Data Consumption Generative and Agentic AI Systems Advanced Reporting and Enterprise-grade BI Complex Data-Powered Web Applications

Requirements

• Core Technical Mastery (5+ Years Demonstrated Experience)
• Azure Data Platform Engineering: Proven experience in architecting and implementing enterprise-grade data solutions on Azure, leveraging services such as Azure Data Factory, Logic Apps, Function Apps, Power Platform, and Databricks to enable secure, scalable, and cost-efficient data pipelines.
• Performance & Scalability Optimization : Expertise in diagnosing and tuning distributed data processing workloads, ensuring optimal performance for large-scale, high-volume environments through advanced optimization strategies and resource management.
• Cloud Orchestration Expertise: Deep expertise in leveraging Azure Data Factory (ADF), Databricks Workflows, or equivalent enterprise orchestrators (e.g., Airflow) for complex metadata management, failure handling, and multi-cloud data integration.
• Polyglot Persistence: Proven ability to manage, optimize, and integrate data from diverse persistence layers, including relational (SQL Server), document (CosmosDB), and graph (Neo4j) databases.
• Leadership and Strategic Mindset
• Technical Leadership & Influence: Proven ability to lead technical implementation for high-impact projects, effectively articulating technical visions to engineering peers and senior stakeholders, and influencing strategic technology choices. Comfortable delivering technical seminars and evangelizing data solutions best practices to promote a culture of performance and excitement for the field.
• Mentorship and Skill Development: Demonstrated history of coaching and mentoring junior team members, resulting in measurable improvements in team skillsets and code quality.
• End-to-End Ownership: Ability to drive projects autonomously from requirement definition through to stable production deployment and post-launch monitoring, understanding and enforcing software development best practices throughout the lifecycle.
• Solutions Delivery: End-to-end ownership of Azure data solutions—translating ambiguous business needs into robust architectural blueprints, then delivering through design, build, test, deployment, and post‑launch monitoring with a focus on reliability, performance, and cost efficiency.
• Cloud Computing: Designing and operating cloud‑native architectures on Azure (e.g., Databricks Lakehouse, ADF/Workflows, Functions, Logic Apps, Azure SQL) with CI/CD and IaC to scale securely and economically for ML, BI, streaming, and web applications.
• Integration Services: Building secure, high‑throughput integrations—REST APIs and event/stream pipelines (e.g., Event Hubs/Kafka)—to connect polyglot data stores (SQL Server, Cosmos DB, Neo4j) and enable real‑time and batch data products.
• Security Awareness: Embedding governance, identity, and compliance into the architecture (OAuth/RBAC, data governance, re‑authorization/ownership verification), enforcing code reviews and automated controls across pipelines and deployments.
• Strategic Planning: Aligning platform roadmaps and technology choices with enterprise strategy, mentoring engineers on best practices, defining standards and KPIs, and prioritizing modernization and cost‑optimization initiatives that maximize business impact.
• A minimum of a bachelor’s degree or relevant military experience at or above a U.S. E5 ranking or Canadian Petty Officer 2nd Class or Sergeant or 8 years of relevant experience in lieu of a Bachelor's degree
• Minimum of 5 years of professional experience in Platform Engineering, Software Engineering, or a closely related field.
• A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process.

Nice To Haves

• Experience managing cross-functional teams and delivering complex projects.
• Experience with Infrastructure as Code (e.g., Databricks Asset Bundles, Terraform, Bicep) for deploying workflows and Azure resources.
• Deep experience with streaming technologies (e.g., Azure Event Hubs, Kafka, Spark Streaming).
• Demonstrated experience designing solutions with a focus on cloud cost management and efficiency.
• Excellent data visualization and data story-telling skills.

Responsibilities

• Strategic Design & Scoping: Lead the end-to-end technical design and scoping of high-impact projects. You will translate ambiguous business challenges into clear, efficient, and scalable solutions with robust architectural blueprints.
• Technical Mentorship & Code Quality: Serve as a primary technical mentor for Associate and mid-level Platform Engineers, elevating the team's overall skillset. You will establish coding standards, perform complex code reviews, and drive the adoption of solution designs and best practices across all skillsets.
• Solution Design & Delivery Excellence: Architect and deliver advanced Azure cloud data solutions that optimize performance and cost through scalable architectures, efficient resource utilization, and proactive resolution of complex bottlenecks—ensuring reliability, agility, and minimal compute expense.
• Strategic Alignment: Work closely with the Senior Solution Manager to evaluate new technologies, define work processes, and make strategic decisions that align data platform capabilities with the company's long-term IT and corporate strategies.
• Cross-Functional Collaboration: Partner effectively with a wide range of data professionals—including Data Engineers, Data Scientists, AI/ML Engineers, and Business Analysts —as well as non-technical business partners to define requirements and deliver data products that meet high-stakes analytical needs.
• Architecture & Deployment Ownership: Take ownership of CI/CD pipelines and infrastructure components in Azure DevOps/Git , championing Infrastructure as Code (IaC) practices to ensure highly reliable, automated, and secure system deployments.

Benefits

• Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives.
• Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it.
• Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals.
• Employee stock purchase programs (availability varies depending on location).
• Student Debt Retirement Savings Match Program (U.S. only). Dow will take the value of monthly student debt payments and apply them as if they are contributions to the Employees’ Savings Plan (401(k)), helping employees reach the Company match.
• Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations.
• Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building.
• Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs.
• Competitive yearly vacation allowance.
• Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).
• Paid time off to care for family members who are sick or injured.
• Paid time off to support volunteering and Employee Resource Group’s (ERG) participation.
• Wellbeing Portal for all Dow employees, our one-stop shop to promote wellbeing, empowering employees to take ownership of their entire wellbeing journey.
• On-site fitness facilities to help stay healthy and active (availability varies depending on location).
• Employee discounts for online shopping, cinema tickets, gym memberships and more.
• Additionally, some of our locations might offer:
• Transportation allowance (availability varies depending on location)
• Meal subsidiaries/vouchers (availability varies depending on location)
• Carbon-neutral transportation incentives e.g. bike to work (availability varies depending on location)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level