Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Open
Nokia is a global B2B technology company focused on telecommunications, enterprise networking, and digital infrastructure. It develops secure and resilient network solutions for service providers, businesses, and public-sector organizations, helping connect people, machines, and devices at scale. Its work includes 5G, artificial intelligence, and quantum-safe networking, alongside research and long-term technology development through Nokia Bell Labs. Job seekers exploring Nokia may find opportunities connected to network engineering, telecommunications, enterprise technology, infrastructure, and advanced research.
Nokia Senior Program Manager, PIC Data Engineering — Remote Nevada
Lead Nokia’s governed lakehouse, warehouse, and pipeline engineering for photonic integrated circuit operations. Build AI-ready data foundations that support analytics and connectivity innovation.
Description
- Own the architecture and hands-on delivery of scalable cloud lakehouses and data warehouses for PIC operations
- Use Databricks, AWS, or comparable platforms to meet Nokia’s operational data requirements
- Shape, optimize, and evolve enterprise data models and semantic layers
- Build and maintain reliable batch and real-time pipelines with ETL/ELT and streaming technologies
- Define data quality frameworks, monitoring, and observability practices
- Deliver CI/CD pipelines and advance DataOps practices
- Lead data governance across cataloging, lineage, metadata, and access controls
- Establish security protocols and role-based access management
- Create governed, AI-ready data foundations for self-service analytics, AI-assisted discovery, and advanced analysis
- Provide business, engineering, and analytics teams with secure access to trusted enterprise data
- Develop infrastructure for AI, automation, machine learning, and advanced analytics programs
- Mentor product engineers, set technical direction, and promote strong engineering practices
- Promote data quality, accountability, self-service adoption, and continuous improvement
Requirements
- 15+ years of progressive experience in data engineering, data architecture, or a related discipline
- Demonstrated success delivering solutions for wafer and chip fabrication processes
- Bachelor’s degree
- At least five years leading, developing, and motivating technical teams
- Advanced SQL skills and deep experience with modern cloud data platforms and distributed processing frameworks
- Practical experience with Databricks, Redshift, or BigQuery
- Background building governed data platforms and products for self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads
- Databricks lakehouse architecture, Unity Catalog, Genie, and Genie Code experience is strongly preferred
- Strong command of enterprise and dimensional data modeling and semantic layer design
- Experience with data orchestration and sophisticated pipeline automation
- Ability to architect scalable, secure, governed, and dependable enterprise data solutions
- Excellent communication and interpersonal skills
- Proven ability to collaborate across business, engineering, analytics, and technology teams
Benefits
- Company-supported laptop ordering
- Remote work arrangement
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