Program Manager, PIC Data Engineering

Job not on LinkedIn

🔥 8 minutes ago

🎰 Nevada – Remote

🎰 Nevada – Remote

💵 $125k - $178k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nokia

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1865

📡 Telecommunications

🏢 Enterprise

💰 Post-IPO Debt on 2018-12

Telecommunications • Enterprise • Infrastructure

Nokia is a B2B technology innovation leader in networking, providing advanced network solutions to enterprises, service providers, and the public sector worldwide. The company focuses on creating networks that are secure, resilient, and capable of connecting people, machines, and devices globally. Nokia is advancing technologies like 5G, AI, and quantum-safe networks, and it collaborates extensively to drive technological innovation forward. Through its Nokia Bell Labs division, the company also leads in pioneering future technologies, aiming to transform digital potential across various industries.

📋 Description

• 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