Required Skills

  • Proven track record with end-to-end data management, including: Data Governance, Data Cataloguing, Data Observability, Data Quality & Data High Availability
  • Architect/Design & Setup cloud based ( AWS / SAAS / PAAS / SSO) compute and storage, based on project requirements for the data platform/pipeline/hub
  • Architect Solutions to support a highly integrated state of the art Data Hub – supporting centralized data store of ALL data related to the application platform, including AI/ML/KPI dashboards capabilities, SSO and supporting integrations with : MarTech, Rapid application development service, Learning/assessment & credential services, eCommerce, EdTech & Personalized DXP
  • Provide reusable components to construct the data platform/pipeline (i.e. ingest, normalize & manage data in DWH, transform for reporting & reporting/dashboards & AI/ML)
  • Ability to support/deliver multiple ML models at scale with new models built and deployed within a sprint
  • The data engineer focus is on lightweight data modelling with high quality pipelines. They mainly work on loading data and providing standardized methods of access
  • Must have a strong affinity to data, with a track record of managing modern data and ML infrastructure and very comfortable with cloud technologies
  • Focus on creating the data product, based on all the required domain knowledge. Obtain domain knowledge by learning from their customers (the ones using their data product) and the teams of upstream data sources. Run all the required analytics and transformations, while being supported by the data platform as a service team(Data engineers). Have a strong domain and use case focus.
  • Highly curious, self-driven, very productive, and able to write code. We will be doing a lot of exploratory work to stand up the platform components including working with university tech teams. (i.e. “building the plane while flying”)
  • Experience working with Data Pipeline software/tools/technologies like FiveTran, Snow Flake, DBT, Google Analytics & Tableau
  • Experience in designing, developing and deploying web applications using Amazon Web Services (AWS) and familiarity with AWS technologies/tools/services including Lambda, RDS, DMS, S3 & cloud based data warehouse like Snow Flake.
  • Experience with Dev Ops- Infrastructure as Code, CI / CD, Test & Deployment Automation, including ML-Ops
  • Excellent knowledge of SQL, Git, ML/AI, BI reporting/dashboards, Data Governance/observability tools
  • Combine information from various sources to create a comprehensive database
  • Develop algorithms/solutions and prototypes aligned to project or initiative needs
  • Work closely with data scientists to define collection events and data transformations needs
  • Conduct complex data analyses to answer research questions
  • Collaborate with teams to interpret findings and create insights that are applicable to business objectives

Nice To Have

  • Experience developing complex applications in an agile environment as part of a multi-disciplinary, diverse team of developers, scientists, designers, product experts and strategists
  • Must be able to demonstrate a proactive approach to problem resolution, attention to detail and the ability to be part of a team-oriented (cross process/function/group) environment
  • Develop detailed specifications, application/integration coding using APIs, unit and systems testing
  • Provide peer leadership and collaborate with Leads, team members and other development staff
  • Promote policies that foster quality standards and industry best practice


This is a full-time W2 employee position with the following benefits:

  • Competitive base salary
  • Paid overtime
  • Generous PTO policy, company holidays
  • 401k with company match
  • Health, Dental, Life, LTD

As an equal opportunity employer, JBS does not discriminate in hiring or terms and conditions of employment on the basis of any federal, state, or locally protected class. JBS only hires individuals authorized for employment in the United States on a W2 basis.


Lead Data Architect

JBS is looking for a Data Architect with Business Intelligence and Leadership experience