Program Manager, PIC Data Engineering
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Job Description
Nokia program manager leading governed lakehouse, warehouse, and pipeline engineering for photonic integrated circuit operations. Enabling AI, analytics, and Nokia’s global connectivity innovation.
Responsibilities:
- Lead architectural design and hands-on implementation of scalable cloud-based lakehouse and data warehouse solutions for PIC operations
- Leverage Databricks and AWS or similar platforms to support Nokia's operational data needs
- Drive the design, optimization, and evolution of enterprise data models and semantic layers
- Engineer, build, and maintain resilient batch and real-time data pipelines using ETL/ELT and streaming solutions
- Establish data quality frameworks, monitoring, and observability practices
- Implement CI/CD pipelines and DataOps best practices
- Lead enterprise data governance, including cataloging, lineage, metadata management, and access controls
- Design and enforce security protocols and role-based access management
- Build governed, AI-ready data foundations for self-service analytics, AI-assisted exploration, and advanced analysis
- Enable business, engineering, and analytics teams to securely access trusted enterprise data
- Develop data infrastructure for AI, automation, machine learning, and advanced analytics initiatives
- Lead, mentor, and inspire product engineers while setting technical standards and promoting engineering best practices
- Champion data excellence, accountability, self-service enablement, and continuous innovation
Requirements:
- 15+ years of progressive experience in data engineering, data architecture, or related fields
- Proven track record delivering impactful solutions in wafer and chip fabrication processes
- Bachelor's degree
- 5+ years of experience leading, developing, and inspiring technical teams
- Deep expertise in SQL, modern cloud data platforms, and distributed data processing frameworks
- Hands-on experience with Databricks, Redshift, or BigQuery
- Experience building governed data platforms and data products supporting self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads
- Experience with Databricks lakehouse architecture, Unity Catalog, Genie, and Genie Code highly preferred
- Strong understanding of enterprise data modeling, dimensional modeling, and semantic layers
- Experience with data orchestration tools and advanced data pipeline automation
- Ability to design and implement scalable, secure, governed, and reliable enterprise data solutions
- Exceptional communication and interpersonal skills
- Ability to partner cross-functionally with business, engineering, analytics, and technology teams
Benefits:
- Laptop support with ordering
- Remote work arrangement
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