Sr Principal Program Mgr, PIC Data Eng

Nokia•United States,

About The Position

At Nokia, the Senior Principal Program Manager, PIC Data Engineering leads development of next-generation data platforms for photonic integrated circuit (PIC) technology. The role builds robust, secure, and scalable data foundations that support strategic insights, AI-powered solutions, and Nokia’s digital transformation and technological leadership. The position leads the architecture and implementation of cloud-based lakehouse and data warehouse solutions, primarily using Databricks and AWS or similar platforms. It oversees enterprise data models, high-performance batch and streaming pipelines, data quality and observability, CI/CD and DataOps practices, governance, metadata and lineage, and secure access controls. It also develops governed, AI-ready data foundations for self-service and AI-assisted analytics, and leads and mentors product engineers while promoting technical excellence 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 cloud data platforms such as Databricks, Redshift, or BigQuery.
Demonstrated experience building governed data platforms and data products supporting self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads.
Strong understanding of enterprise data modeling, including dimensional modeling and semantic layers.
Experience with data orchestration tools and advanced data pipeline automation techniques.
Ability to design and implement scalable, secure, governed, and reliable enterprise data solutions.
Exceptional communication and interpersonal skills, including cross-functional collaboration with business, engineering, analytics, and technology teams.

Nice To Haves

Master's degree preferred.
Experience with Databricks capabilities, including lakehouse architecture, Unity Catalog, and AI-assisted analytics features such as Genie and Genie Code.

Responsibilities

Lead architectural design and hands-on implementation of scalable cloud-based lakehouse and data warehouse solutions for PIC operations.
Drive the design, optimization, and evolution of enterprise data models and semantic layers aligned with business objectives.
Build and maintain resilient, high-performance batch and real-time data pipelines, including ETL/ELT and streaming solutions.
Establish data quality frameworks, monitoring, and observability practices to ensure data integrity and reliability.
Implement CI/CD pipelines and DataOps practices to improve automation, reliability, and secure deployment.
Lead implementation of enterprise data governance standards, including cataloging, lineage, metadata management, and access controls.
Design and enforce security protocols and role-based access management across enterprise data platforms.
Build governed, AI-ready data foundations that support self-service analytics, AI-assisted exploration, and advanced analysis.
Enable business, engineering, and analytics teams to securely use trusted enterprise data for conversational analytics and AI-assisted analysis.
Develop data infrastructure for AI, automation, machine learning, and advanced analytics initiatives.
Lead, mentor, and inspire a team of product engineers; set technical standards and promote engineering practices and professional growth.
Promote a culture of data excellence, accountability, self-service enablement, and continuous innovation.