Principal Data Architect

7 days ago


Spring Valley, Nevada, United States HP Development Company, L.P. Full time
Job Summary

We are seeking a highly skilled and experienced Principal Data Architect to lead our team in designing and developing complex, secure, and performant data solutions and models. This role is responsible for owning multiple platforms in the data organization around customer data, including data ingestion, storage, and consumption.

  • Leads multiple platforms organization-wide team or teams of other data engineers for all stages of design and development for complex data solutions and models.
  • Prepares and presents literature, presentations, and invention disclosures for peer review and publication in industry data engineering domain initiatives and conferences.
  • Ensures designs and project activities are in compliance with data policies, architecture, security, and quality guidelines and standards.
  • Drives innovation and integration of new technologies into organization-wide projects and activities in the big data space.
Responsibilities

This role requires a deep understanding of data systems leadership, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.

  • Represents the data engineering team for all phases of larger and more-complex development projects.
  • Establishes scalable, efficient, and automated processes for large-scale data analyses and model development, validation, and implementation.
  • Explores the space of analytical opportunities for a given problem and executes with a sound analytical strategy.
  • Builds and manages relationships throughout the organization.
Requirements

To be successful in this role, you will need:

  • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
  • Preferred Certifications: Programming Language/s Certification (SQL, Python, or similar)
Knowledge and Skills

The ideal candidate will have:

  • Must Have: SQL Programming, Python, Azure ADLS/ADF, AWS
  • Knowledge of Power BI, ThoughtSpot
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Data Pipelines
  • Data Warehousing
  • Extract Transform Load (ETL)
  • Java (Programming Language)
  • Scalability
Cross-Org Skills

The successful candidate will possess:

  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

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