Principal Data Engineer - AWS, ETL, OLAP (FL)

Principal Data Engineer, Austin, TX, San Jose, CA, Destin, FL, $160K-165k per annum, SQL, Database Development, ETL, AWS cloud, data strategy, target platform, governance principles, data flowing, data stores, data acquisition, legacy systems, end-to-end architecture, Design infrastructure & technology, data platform, data strategies, integrating data, large data sets, OLTP relational databases, OLAP, Dimensional Environments, Cloud technologies, algorithms, NoSQL databases, logical, physical data models, data models, enterprise data models, data structures, data architecture, Agile Software Development Environment, Data Mining, Machine Learning, Predictive Analytics, Data Architect, Solution Architect, Data Analytics, AWS, GCP, Azure, embedding data management, governance processes, Microservices, Mathematics, Computer Science, Electrical Engineering, Agile, Amazon Web Services, Architecture, Cloud, Communication skills, Data analysis, Data engineering, Data management, Data modeling, Data structure, Database, Governance, Microsoft Windows Azure, NoSQL, OLTP, Presentations, Project management, RDBMS, Software engineering, Solution architecture, Strategy, Workflow, Release management
Full Time
$160,000 - $165,000
Work from home available

Job Description

Principal Data Engineer

Location: Austin/San Jose/Destin (Destin, FL is preferred)

Salary: $160-165k per annum + 15% target bonus + Potential RSUs

Interviews: 1st round tech with Talent Acquisition team; 2nd round – multiple technical rounds with Hiring Manager/team members; 3rd round – with senior leadership


*Not looking for candidates from consulting/contracting backgrounds. Looking for candidates whose work experiences have longer durations/FT positions.


Main skills:

  • Communication skills is key. Must be able to communicate effectively with Technical & Non-Technical people like SVPs from the Business side.
  • SQL abilities
  • Database Development
  • ETL and AWS cloud


Job Description:


Principal Responsibilities:

  • Play a key role in defining and driving the data strategy, target platform and governance principles
  • Create a fluid, end-to-end vision for data flowing through our ecosystem to enable seamless, near real-time workflow integration with both relational and non-relational data stores.
  • Define strategy for data acquisition from legacy systems
  • Own end-to-end architecture vision & roadmap for the data platform to support the data strategy
  • Design infrastructure & technology for data platform, including owning technology selection
  • Understand and be accountable for the financial implications of the design
  • Plan data and database architectural progression for year 1, year 2 etc. and define achievable transitions
  • Be hands-on, especially with the initial implementation work


Collaboration & Communication

  • Excellent interpersonal and presentation skills, equally comfortable engaging with and presenting to senior stakeholders, as well as writing code alongside software engineers
  • Work closely with architects from across the organization to ensure alignment with the broader technical strategy
  • Work closely with other platform teams/project management/release management that may be dependent on/impacted by changes in the platform scope or technical implementation
  • Ability to evangelize new technologies and their impact on the company.


Required Experience

  • Bachelor’s degree with 8+ years of relevant experience
  • 8+ years of experience in defining and implementing data strategies
  • 5+ years of experience integrating data in batch and near real-time
  • 5+ years of experience with large data sets & deep understanding of associated technologies: OLTP relational databases, OLAP & Dimensional Environments, Cloud technologies, Search tools and algorithms, ETL tool and techniques, document or other NoSQL databases, & process tools.
  • Delivering flexible, reliable, supportable conceptual, logical, and physical data models across a broad ecosystem.
  • Best practice techniques to build and maintain data models, along with advantages and disadvantages of enterprise data models
  • Working with complex data structures and data models to provide recommendations on business focused data architecture


Preferred Skills

  • Experienced in Agile Software Development Environment
  • Experience with at least 1 of the following:

o          Data Mining,

o          Machine Learning

o          Predictive Analytics

  • Experienced Data Architect or Solution Architect with considerable exposure to data led driven environments
  • Specific experience defining Data Architecture, including future/target architectures
  • Knowledge of Data Analytics offerings from AWS, GCP or Azure
  • Establishing and embedding data management and governance processes
  • Experience in a Microservices Based Environment
  • Degree in Mathematics, Computer Science or Electrical Engineering


Dice Id : 10232735
Position Id : 6683659
Originally Posted : 1 month ago
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