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.

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