Principal Data & IT Platform Engineer (Houston or Dallas, TX)

OxyChem; Houston (TX); On-site; USD 190,000 - 260,000; Full time

Job summary

OxyChem seeks a Principal Data & AI Platform Engineer to define and lead the enterprise data and analytics vision. You will design and build a modern Azure/SAP-based platform anchored on Fabric, OneLake and SAP BDC for analytics, reporting, and AI across the organization.

You will own the technology roadmap, set architectural standards, and partner with stakeholders to translate strategy into production-grade solutions while ensuring security, cost-efficiency, and long-term business alignment.

Qualifications

• Bachelor’s degree in CS, IS, or related field (Masters preferred).
• 15+ years architecting scalable, secure data platforms.
• 5+ years with Azure-focused cloud data platforms and Fabric OneLake.
• 10+ years integrating SAP BDC/Datasphere/HANA/CPI with data stacks.
• 5+ years Power BI and self-service analytics expertise.
• Strong governance, security, and cost controls in cloud data ecosystems.

Responsibilities

• Define vision, roadmap, and standards for the enterprise data and analytics platform.
• Lead build of Azure/SAP-based data platform using Fabric (OneLake, Data Factory, Warehouse) and SAP BDC.
• Own dimensional and semantic data models and curated datasets for self-service reporting.
• Establish enterprise data governance—quality, security, lineage, and compliance controls.
• Determine Azure and SAP integration strategies per use case.
• Design Fabric data pipelines for batch, CDC, and real-time ingestion.
• Architect integration patterns for SAP BDC, Datasphere, CPI, MFT, BizTalk, and APIs.
• Set IaC standards with Terraform/Bicep and automate deployments of infra/data pipelines.
• Collaborate with analysts to optimize warehouse structures and query performance.
• Provide estimation and planning for architecture initiatives.

Skills

Azure cloud

Fabric OneLake

Data warehousing

AI/ML architecture

Power BI

SQL

Python

PySpark

Terraform

CI/CD

Education

Bachelor’s degree in CS/IS or related field

Master’s preferred

Job description

At OxyChem, our chemistry makes modern life possible, and it is our people who make the difference. We are a safety-first, purpose-driven team committed to innovation, environmental responsibility, and doing things the right way. If you are ready to contribute, elevate your skills, and take ownership of your career, OxyChem offers the opportunity to make a difference every day.

OxyChem, a Berkshire Hathaway company, is a leading producer of essential chemistry with operations in the U.S., Canada and Latin America. OxyChem’s products play an essential role in everyday life, supporting critical applications in water treatment, pharmaceuticals, healthcare, manufacturing, automotive, personal hygiene, and residential and commercial construction. OxyChem actively participates in the Occupational Safety and Health Administration Voluntary Protection Program, underscoring our commitment to safety. Headquartered in Dallas, Texas, OxyChem is a top three U.S. manufacturer of polyvinyl chloride, chlor-alkali and chlorinated organic chemicals, and calcium chloride. Visit oxychem.com for more information.

In a fast-paced industry that demands precision, we create a supportive workplace where the safety and well-being of our employees are paramount. We are committed to rewarding top performers, offering very competitive pay and benefits, and providing tremendous career development opportunities.

We are seeking a Principal Data & AI Platform Engineer to define and lead the vision for our enterprise data and analytics ecosystem. In this senior, hands-on role, you will design and build a modern, Azure and SAP-based data platform—anchored on Microsoft Fabric, OneLake and SAP BDC—that delivers centralized, scalable, and governed capabilities for analytics, reporting, and AI across the organization. You will own the technology roadmap and architectural standards, design the integration and infrastructure-as-code frameworks that other engineers build upon, and partner closely with business and technical stakeholders to translate strategy into trusted, production-grade solutions. The ideal candidate pairs deep, current technical mastery with the judgment to set direction and hands on engineering to ensure the platform is secure, cost-effective, and aligned to long-term business goals.

Responsibilities

• Define the technology vision, roadmap, and architectural standards for the enterprise data and analytics platform, ensuring tight alignment with business goals and establishing the patterns other engineers build upon.
• Design and lead the build of a modern, Azure/SAP-based data platform leveraging Microsoft Fabric (OneLake, Data Factory, Warehouse) and SAP BDC, integration patterns, setting the foundation for enterprise-wide analytics and reporting at scale.
• Own the design and deployment of dimensional and semantic data models and curated datasets that deliver performant, governed, self-service reporting—establishing modeling standards adopted across the organization.
• Establish enterprise data governance - data quality, security, lineage, and compliance controls across the platform - to guarantee trusted, audit-ready analytics.
• Determine Azure and SAP cohesion/coexistence to determine right fit per use case
• Design and lead the build of Fabric data pipelines for batch, CDC, and incremental ingestion, architecting reusable patterns for transforming on-premises relational data into the cloud platform.
• Architect integration frameworks and ingestion patterns for time-series, PI historian, SAP Business Data Cloud (BDC)/Datasphere/CPI, Globalscape MFT, Microsoft BizTalk, and API/streaming sources, ensuring reliable handling of high-volume and real-time data as a reusable capability.
• Establish a decision-making framework for SAP Business Data Cloud and the Microsoft Azure stack, defining clear criteria for when to leverage SAP-native data capabilities versus Azure-based data platform services based on, data ownership, integration complexity, governance requirements, scalability, cost.
• Set the standard for infrastructure-as-code (e.g., Terraform/Bicep), driving consistent, version-controlled, repeatable provisioning and instilling software-engineering discipline across the platform team.
• Define and own the CI/CD strategy, building and governing deployment pipelines that automate releases of infrastructure, data pipelines, and warehouse artifacts—with automated testing, environment promotion, and rollback strategies for safe, reliable delivery.
• Partner with and provide technical guidance to analysts and report developers, translating reporting requirements into scalable warehouse structures and optimized query performance.
• Provide estimation and planning—timelines, resources, and budgets—for architecture initiatives, providing actionable guidance to leadership and stakeholders.

Qualifications

• Bachelor’s degree (Master’s preferred) in Computer Science, Information Systems, or a related field (or equivalent experience).
• 15+ years architecting and hands-on building scalable, secure, and cost-effective cloud-based data and AI platforms, with a track record of delivering centralized, enterprise-wide capabilities.
• 5+ years Deep, hands-on expertise with modern cloud data platforms (Azure strongly preferred), including Microsoft Fabric OneLake, data warehousing, and AI/ML architecture.
• Mastery of diverse data stores—relational, NoSQL, and graph databases—with the judgment to select the right technology for each workload.
• 10+ years of designing and operating enterprise integrations across relational databases, SAP BDC/Datasphere/HANA/CPI, Globalscape MFT, Microsoft BizTalk, message buses, and OData/REST APIs.
• 5+ years experience with the Azure service ecosystem, including Azure Functions, Service Bus, Event Grid, API Management, and Container Instances.
• 15+ years demonstrating ability to define technology roadmaps, align architecture to business objectives, and deliver actionable guidance to both technical teams and executive stakeholders.
• 5+ years of enterprise BI, particularly Power BI, including semantic modeling and governed self-service reporting.
• 5+ years integrating and working with time-series historians, including PI historian and related operational technology data platforms
• Working knowledge of Generative and Agentic AI capabilities, architectural patterns, and supporting technology stacks.
• Disciplined software-engineering practices, including Git-based version control and automated deployment pipelines (CI/CD).
• Proficiency writing clean, reusable, performant code in SQL, Python, and PySpark for data engineering, transformation, and integration tooling.