At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations.

As Senor Principal Data Cloud

Architect, you will lead the design, governance, and evolution of enterprise Data Cloud capabilities that support analytics, AI, reporting, and secure data sharing. You will combine hands‑on data system design with technical leadership across Snowflake, dbt, Apache Superset, platform administration, observability, lineage, and governance. You will partner with product, engineering, BI, AI, security, and operations teams to deliver scalable solutions for manufacturing, government, and other asset‑intensive customers.

Leading Data

Cloud strategy, standards, and solution design across enterprise data, analytics, AI, and reporting initiatives. Designing scalable data systems, including ingestion, transformation, logical and physical models, semantic layers, and governed consumption patterns. Providing technical direction for Snowflake and dbt architecture, administration, performance, security, cost management, and release practices.

Architecting and supporting secure Data Share solutions, summary views, account provisioning, entitlement workflows, and product onboarding.

Leading Apache

Superset architecture, administration, semantic modeling, dashboard enablement, performance optimization, and migration from legacy BI platforms. Advancing data governance, metadata, privacy, anonymization, retention, access controls, quality monitoring, and compliance practices. Supporting commercial and government cloud environments while partnering with security and infrastructure teams on compliant platform designs.

Translating manufacturing and government asset‑management needs into durable data models for assets, facilities, infrastructure, maintenance, work management, inspections, lifecycle planning, reliability, and capital planning. Bachelor’s degree in computer science, engineering, information systems, data engineering, or a related field, or equivalent practical experience. ~8+ years of progressive experience in data architecture, cloud data platforms, data engineering, or closely related roles, including ownership of enterprise‑scale designs. ~ Demonstrated expertise with Snowflake, dbt, SQL, dimensional and normalized data modeling, data integration, and cloud‑native data platform patterns. ~ Hands‑on knowledge of Apache Superset, including enterprise deployment,



administration, security, semantic datasets, dashboard development, performance tuning, and integration with cloud data warehouses. ~ Demonstrated expertise with manufacturing and asset‑intensive data, including asset hierarchies, equipment, facilities, maintenance, work orders, reliability, inspections, inventory, and lifecycle information. ~ Demonstrated expertise with government or public‑sector asset data, including infrastructure inventories, facilities, compliance, capital planning, budgeting, and governed reporting. ~ Experience designing data governance, metadata, lineage, privacy, access‑control, retention, and anonymization capabilities. ~ Experience with platform observability and operational practices, including monitoring, alerting, solving, reliability, and production support. ~ Ability to communicate complex technical decisions clearly and influence partners across product, engineering, analytics, AI, security, and business teams. ~ Ability to work effectively across a globally distributed organization and lead through technical influence.

Experience modernizing analytics from Qlik or other legacy BI platforms to Apache Superset or comparable open analytics platforms.

Experience with AWS data services, GovCloud environments, Snowflake Streamlit, Grafana, OpenLineage, or similar technologies. Knowledge of Salesforce account, opportunity, entitlement, and customer‑product data integration patterns.

Experience supporting enterprise asset management, computerized maintenance management, facilities management, or asset performance management products. Understanding of AI/ML data enablement, MLOps integration, agentic analytics, data catalogs, business glossaries, and governed self‑service analytics.

Experience establishing architecture standards, design reviews, operating models, or technical roadmaps for Data Cloud platforms. You will strengthen Data Cloud continuity, improve platform governance and reliability, enable modern Superset analytics, and deliver reusable data designs that serve manufacturing and government asset‑management use cases. At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably.

If you're excited about solving real‑world challenges and shaping the future of asset management. Our Commitment to Equity and Inclusion in our Diverse Global Workforce:



We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace.

All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this linkAccommodationfor disability form .

California residents have the right to receive additional notices about theirpersonal information. Siemens is an Equal Prospect Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this linkAccommodationfor disability form . California residents have the right to receive additional notices about theirpersonal information.

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws. #

📌 Engineering Manager, Data Science Engineering (Raleigh)
🏢 Siemens Mobility
📍 Raleigh