Data Platform Architect
About The Position
Wind River, an Aptiv Company, is seeking a Data Platform Architect to define and guide the architecture of a modern data platform supporting enterprise analytics, business metrics, dashboards, and visualization. The role involves architecting the end-to-end data journey from ingestion through visualization using technologies including Fivetran, Snowflake, dbt, Tableau, and modern data engineering practices. The architect partners with executives and cross-functional stakeholders to translate business requirements into scalable data solutions, establishes data engineering and analytics best practices, and provides technical leadership and mentorship to data developers in a fast-paced, service-oriented environment. Candidates must engage in a security clearance process related to citizenship to perform fundamental job duties; any offer is contingent on the candidate's legal ability to perform those duties.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- 10–12 years of Data Engineering development and visualization experience, including 6–8 years of Data Warehouse experience.
- 6–8 years of SQL experience, with strong data modeling and modern data warehouse expertise.
- 2–4 years of dbt experience.
- 3–5 years of GitHub experience.
- 2–3 years of experience with CI/CD tools for the modern data stack.
- 3–5 years of experience with Tableau Cloud or a comparable modern data visualization platform.
- At least 2 years of Python development experience.
- Experience with enterprise systems including Salesforce, Workday, Oracle, Oracle BI, Jira, and financial planning applications such as Anaplan or Adaptive.
- Fluent written and verbal communication skills and the ability to collaborate with executives and cross-functional stakeholders.
- Successful completion of the security clearance process and legal ability to perform the fundamental job duties.
Nice To Haves
- Emphasis in Data Engineering in the degree program.
- Snowflake data warehouse experience.
- Snowflake SQL experience.
- Semantic layer experience.
- HTML and JavaScript experience related to Tableau.
- Experience with financial planning applications such as Anaplan or Adaptive.
Responsibilities
- Architect end-to-end data structures and workflows from ingestion through visualization using Fivetran, Snowflake, dbt, and Tableau.
- Define and implement data engineering best practices to improve platform maintainability, reliability, scalability, and efficiency.
- Provide expertise in Snowflake data warehouse architecture, modeling, and development across diverse and nonuniform data sets.
- Design and maintain data security and access controls, and establish effective source code management practices using GitHub.
- Develop SQL, HTML, and JavaScript solutions to optimize the data platform and support analytics and visualization requirements.
- Partner with executives and cross-functional teams to gather business requirements and translate them into data architecture and analytics solutions.
- Provide technical guidance and mentorship to junior data developers and promote data engineering, analytics, CI/CD, and development best practices.
Benefits
- Comprehensive health, dental, vision, and life insurance.
- Flexible time off supporting work-life balance.
- Eligibility to enroll in a 401(k) plan.
- 12 paid holidays.
- Professional development and career growth opportunities.
- Opportunity to work with cutting-edge technologies and teams focused on innovation.
- Annual incentive plan bonus.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
