Data Platform Architect

Data Platform Architect Green Card holder or US Citizen Required ABOUT WIND RIVER Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company’s software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We’ve achieved recent 5G milestones including the world’s first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, in [... source excerpt omitted ...] tecture that supports business analytics and dashboard development. Wind River has a modern data platform that provides data and metrics for the entire organization. In this role, you will be the architect for the overall product and guide the team to model data to generate business-driven metrics, illustrated through robust dashboards and visualizations. Must have fluency in Wind River data stack: Fivetran, Snowflake, dbt, Tableau. Must be comfortable working with a wide range of stakeholders and functional teams, including executives. Must be comfortable in a fast-paced, service-oriented environment. YOUR ROLE The successful candidate will work with key executive stakeholders [... source excerpt omitted ...] to visualization. The candidate should evangelize best practices for data engineering and analytics – leading by example and mentoring for the junior engineers. In your daily job you will: Architect data structure from ingestion to visualization using Snowflake, dbt, and Tableau Implement best practices for the data stack that provides maintainability, reliability, and efficiency. Provide expertise in data warehouse modeling and development for Snowflake Exercise best practices in optimal Data modeling for nonuniform sets of data Provide best practices for source code control with Github Design and Maintain data security access controls Develop SQL, HTML, and/or Javascrip