HP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations, and dreams. We apply new thinking and ideas to create simpler, more valuable, and trusted experiences with technology, continuously improving the way our customers live and work.

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning (ML) products to optimize pricing, marketing investments and provide guidance to sales and other HP teams.

We're looking for a principal data architect to join our data engineering team.

Qualifications

• Typically 5+ years of experience in software or data engineering.

• Extensive experience in data modeling, data integration and processing of structured and unstructured data.

• Highly proficient in one or more programming languages (Python preferred).

• Strong SQL proficiency (experience with NoSQL - advantage).

• Highly experienced with Apache Spark / pyspark

• Excellent communication skills; mastery in English and local language.

• Ability to effectively communicate product architectures, design and change proposals.

• Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.

Additional preferred qualifications / advantages

• Databricks

• Pandas

• Dataiku DSS

#LI-POST

Equal Opportunity Employer (EEO):

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).