> Markdown version of [/jobs/ext/1487115-it-solution-manager](https://www.wearedevelopers.com/jobs/ext/1487115-it-solution-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# IT Solution Manager

- **Company:** Dow
- **Location:** Midland, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Encodings, Databases, Continuous Integration, Data Governance, Data Integration, Data Stores, Data Systems, Data Visualization, Distributed Computing Environment, Machine Learning, Meta-Data Management, Microsoft SQL Server, SQL Azure, Neo4j, OAuth, Role-Based Access Control, Software Engineering, Data Streaming, Systems Integration, Web Applications, Azure Service Bus, Microsoft Power Automate, Azure Data Factory, Advanced Reports, Generative AI, Infrastructure as Code (IaC), Git, Google Cloud Functions, Bicep, Apache Kafka, Cosmos DB, Spark Streaming, Data Management, Video Streaming, Virtual Agents, Software Coding, Restful APIs, Terraform, Data Pipelines, Azure Resource Manager, Databricks
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=13fdd7d2628bb828

## About the Role

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.

Your Skills

 * 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.

Preferred Skills

 * 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.
 * Proficiency in system integrations, data management, and troubleshooting complex application issues.

## Description

Dow has an exciting opportunity for an Azure Solution Manager and a Software Engineer located 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

As a Software Engineer, you will own and manage a portfolio of digital solutions and practices, guiding them through their full lifecycle-from analysis and design to implementation, adoption, optimization, and end-of-life retirement. Your goal is to deliver advanced functional and business capabilities that accelerate Dow's digital transformation.

You will collaborate with a multi-disciplinary IT team-including analysts, designers, developers, and support specialists-to deliver innovative, user-centric solutions. A key responsibility is to orchestrate functional and technical requirements analysis, focusing on experience, simplification, automation, efficiency, and reliability.

What You'll Do

 * 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.
 * Service Leadership: Fulfill service or practice manager responsibilities for IT, following the ITIL framework to deliver value.
 * Requirements & Experience Mapping: Analyze business and functional requirements; map user journeys, UX, and user stories to enhance employee and customer experience.
 * Solution Lifecycle Management: Own end-to-end lifecycle-design, architecture, integration (buy vs. build), development, testing, adoption, and retirement.
 * Delivery Excellence: Support both waterfall and agile methodologies; ensure successful implementation and user adoption.
 * Performance & Support: Define supplier and team support models; monitor SLA, OLA, and KPI compliance and act on deviations.
 * Integration & Optimization: Coordinate with other managers for end-to-end process integration and optimization.
 * Roadmap & Innovation: Define improvement and innovation roadmaps; assess resources, technology, and investment needs.
 * Thought Leadership: Foster a community of solution experts and act as a domain thought leader.
 * Resource & Financial Management: Assist with workload analysis, capacity planning, and lifecycle cost management.
 * Strategic Enablement: Partner with stakeholders to support M&A activities as needed.


## Related Videos

- [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code)
- [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data)
- [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies)

## Related Articles

- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)