Data Platform Architect

Aptiv • Troy, MI

2d

About The Position

Wind River is seeking a Data Engineering and Analytics Leader to oversee their data platform architecture, which supports business analytics and dashboard development. The company utilizes a modern data platform to provide data and metrics across the organization. The role involves architecting the overall product, guiding the team in data modeling for business-driven metrics, and creating robust dashboards and visualizations. Fluency in Wind River's data stack (Fivetran, Snowflake, dbt, Tableau) is required. The candidate must be comfortable interacting with a diverse range of stakeholders, including executives, and thrive in a fast-paced, service-oriented environment.

Requirements

• BS in Computer Science (emphasis in Data Engineering is a plus).
• 10-12 years Data Engineering Development and visualization experience.
• 6-8 years of Data Warehouse experience (Snowflake DWH preferred).
• 6-8 years of SQL experience (Snowflake SQL preferred).
• 2-4 years of dbt experience (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 experience.
• 2+ years of Python development.
• HTML and Javascript experience as it relates to Tableau are preferred.
• Experience with Enterprise systems: Salesforce, Workday, Oracle, Oracle BI, Jira, Financial planning applications (Anaplan, Adaptive).
• Fluent written and verbal communication skills.
• Must be a Green Card holder or US Citizen.
• Must be able to engage in a security clearance process.

Nice To Haves

• Emphasis in Data Engineering.
• Semantic layer experience.
• HTML and Javascript experiences as it relate to Tableau.

Responsibilities

• Architect the data structure from ingestion to visualization using Snowflake, dbt, and Tableau.
• Implement best practices for the data stack to ensure 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 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.

Benefits

• Comprehensive benefits package including health, dental, vision, and retirement plans.
• Opportunities for professional development and career advancement.
• Competitive Salary: Attractive base salary with performance-based incentives - UNCAPPED Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior