Job description

Principal Engineer - Big Data

Use this job description template on Flatwork ATS to hire faster than ever before.
Need a fast hiring & recruiting tool?
Get Flatwork.
Flatwork is built for speed with advanced features like nurture, candidate email sourcing for HR managers and recruiters.
Create a free Flatwork account

In This Role, You Will

  • Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
  • Partner with Enterprise Data Services organization on Enterprise Data Strategy
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Lead and perform current state data assessments, create future state vision, strategy, roadmap
  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
  • Create and manage reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions
  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
  • Ensure Data-related design patterns, best practices are front and center of technology practices in the organization.
  • Establish Consumer Lending wide data standards and governance. Manage data as a strategic asset and operationalize data governance, data quality, and controls across the organization
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of technical leadership or architecture experience
  • 3+ years of experience leading in the Data Engineering, Data Management, ETL, Big Data Hadoop, AI/ML capabilities

Desired Qualifications:

  • A Bachelor's and/or Master's Degree in Data Science, Statistics or relevant field
  • End-to-End data, analytics and machine learning technology and business acumen including Data Warehousing, ODS, Big Data platforms and related technology stack such as ETLs, Python, Spark, Hive and cloud native data capabilities.
  • 3+ years of experience with Agile practices
  • 5+ years' experience with Data architecture, design, and management
  • E xperience in building enterprise solutions using multiple diverse tools and programming languages including Big Data Hadoop solutions, SPARK, Tableau, AtScale, Data Warehousing, Oracle Exadata, Data microservices, API product architecture and design