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Key skills for this role
Data Architecture Experience: Extensive data architecture background driving architectural and design decisions in Cloud data platforms within software-centric organizations. Strong Data Modeling and Governance experience.
Data Platforms: Strong Databricks experience (or another lakehouse platform based on Spark)
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California, USA
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China, USA
Technical Proficiency: Proven hands-on capability with the modern data stack and a history of building/designing complex technical solutions. Expertise in developing solutions with SQL and PySpark.
AI Skills: Experience with using agentic AI in the SDLC for efficiency gains, and using GenAI in data workloads as a tool for data analysis.
Data Design Skills: Proven ability to design data schemas for analytics and reporting consumption.
Analytical & Data Skills: Demonstrated ability to structure and process qualitative/quantitative data to evaluate Total Cost of Ownership (TCO) and make sound technology trade-off decisions.
Communication & Leadership: Effective communicator with a proven ability to explain complex technical concepts and gain buy-in for architectural strategies across cross-functional teams.
Problem Solving: Ability to thrive in unstructured or ambiguous environments, conceptualizing and designing creative solutions to complex technical challenges.
Cloud & Domain Expertise: Focused experience in one or more of the following: Security and Access Control, Cloud Operations & Infrastructure, or 3rd-Party Integrations.
Industry Experience: Minimum of 15 years in the software industry, with a minimum of 3 years in an architecture position
Cloud Platforms: Hands-on experience architecting on major public cloud platforms (AWS, GCP, or Azure).
Serverless: Experience with developing and supporting serverless workloads on a public cloud platform.
Security Standards: Deep knowledge of modern infrastructure security protocols, data privacy compliance, and access control frameworks.
Developer Enablement: Track record of active involvement in developer enablement, engineering mentorship, and promoting continuous integration/continuous delivery (CI/CD) best practices.
Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:
Sales Roles: This position is eligible for a commission structure in addition to base salary.
Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
G-P (Globalization Partners) enables companies to hire and manage teams in over 180 countries without setting up local entities. Its SaaS platform handles onboarding, payroll, and compliance globally.
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