Data Platform Architect

Data Platform Architect

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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, inclusion & belonging, come join us and help advance the future software defined world. 

 
ABOUT THE OPPORTUNITY

We are looking for a Data Engineering and Analytics Leader who will provide oversight into our data platform architecture 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 to collect requirements, then architect the data path from ingestion 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 Javascript code to optimize the stack or to generate views for visualization.
• Work with cross-functional teams to gather requirements and deliver to respective stakeholders.
• Provide guidance and mentorship to junior data developers

HOW YOU WILL CONTRIBUTE 

Key skills and competencies for succeeding in this role are:

• BS in Computer Science. The emphasis in Data Engineering is a plus
• 10-12 years Data Engineering Development and visualization experience
• 6-8 years of Data Warehouse experience is required. Snowflake DWH is preferred
• 6-8 years of SQL experience, Snowflake SQL is preferred
• 2-4 years of dbt experiences, semantic layer experience is a plus
• 3-5 years of experience with Github.
• 2-3 years of experience with CI/CD tools for the modern data stack
• 3-5 years of Tableau Cloud or a modern data stack
• 2+ years of Python development
• HTML and Javascript experiences as it relate to Tableau are preferred
• Experience with the following Enterprise systems: Salesforce, Workday, Oracle, Oracle BI, Jira, Financial planning applications (Anaplan, Adaptive)
• Fluent written a