Senior Principal Program Manager, PIC Data Engineering

This is a fully remote position, open to applicants in Nevada.

📋 Description

• Oversee the architectural design and hands-on execution of scalable cloud-based lakehouse and data warehouse solutions for PIC operations.

• Utilize Databricks and AWS or comparable platforms to meet Nokia's operational data requirements.

• Spearhead the design, optimization, and enhancement of enterprise data models and semantic layers.

• Develop, construct, and sustain robust batch and real-time data pipelines employing advanced ETL/ELT and streaming technologies.

• Create data quality frameworks, along with monitoring and observability practices.

• Execute CI/CD pipelines and adopt DataOps best practices.

• Direct enterprise data governance efforts, including cataloging, lineage, metadata management, and data access controls.

• Design and implement security measures and role-based access management.

• Establish governed, AI-ready data infrastructures for self-service analytics, AI-assisted exploration, and in-depth analysis.

• Facilitate secure access to trusted enterprise data for business, engineering, and analytics teams.

• Build foundational data infrastructure to support AI, automation, machine learning, and advanced analytics.

• Lead, mentor, and motivate a high-performing product engineering team.

• Define technical standards, advocate for engineering best practices, and encourage professional development.

• Promote data excellence, accountability, self-service enablement, and ongoing innovation.

⛳️ Requirements

• Over 15 years of progressive experience in data engineering, data architecture, or related domains.

• Proven ability to deliver impactful solutions in wafer and chip fabrication processes.

• Bachelor's degree required.

• More than 5 years of experience in leading, developing, and inspiring technical teams.

• Profound knowledge in SQL, modern cloud data platforms, and distributed data processing frameworks.

• Practical experience with Databricks, Redshift, or BigQuery.

• Background in building governed data platforms and data products that facilitate self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads.

• Experience with Databricks lakehouse architecture, Unity Catalog, Genie, and Genie Code is highly preferred.

• Strong grasp of enterprise data modeling, dimensional modeling, and semantic layers.

• Familiarity with data orchestration tools and advanced data pipeline automation.

• Capability to design and implement scalable, secure, governed, and reliable enterprise data solutions.

• Excellent communication and interpersonal skills.

• Ability to collaborate across functions with business, engineering, analytics, and technology teams.

🏝️ Benefits

• Laptop support with ordering facilitated.

• Remote work arrangement available.