обновлено 8 дней назад
Lead Platform Engineer (Data and AI)
209 100 - 324 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Platform Engineer (Data and AI): Architecting and delivering the Enterprise Data Platform for data management, analytics, data sharing, and AI applications with an accent on platform architecture, security, governance, and scalable cloud infrastructure. Focus on building Databricks and Snowflake solutions, implementing RAG and agentic AI patterns, developing API-driven platforms, and driving DevSecOps and operational excellence across complex multi-team initiatives.
Location: Seattle, Washington, United States; unrestricted work authorization in the United States is required
Salary: $209,100–$324,100 USD annually for Seattle and Washington, D.C. locations; the general range is $190,100–$294,700 USD annually.
Company
is a global nonprofit focused on fighting poverty, disease, and inequity through data- and technology-enabled programs.
What you will do
- Define and evolve multi-year data and AI platform roadmaps aligned with enterprise architecture, security standards, and business strategy.
- Architect, implement, and govern the Enterprise Data Platform using Databricks, Azure, Snowflake, and AI technologies.
- Develop design patterns for data and agentic AI applications, including solutions using Databricks foundation models, OpenAI, Claude, and Snowflake Cortex.
- Improve the Data Portal for self-service data cataloging, search, discovery, and data sharing with internal and external users.
- Lead architectural reviews, vendor evaluations, build-versus-buy decisions, and large multi-team delivery efforts.
- Drive automation, observability, governance, DevSecOps, operational reliability, performance, and cost optimization.
Requirements
- Bachelor’s or master’s degree in computer science or a related field, or equivalent experience.
- 12+ years of experience with data platforms, advanced analytics, AI/ML infrastructure, data security, and automation.
- Hands-on experience with Azure, Terraform, Databricks, Snowflake, data pipelines, orchestration, Docker, Kubernetes, and distributed systems.
- Experience designing API-driven data platforms using REST or GraphQL, microservices, and API or AI gateways.
- Strong understanding of RAG architectures, embeddings, vector databases, document processing, NLP pipelines, data governance, CI/CD, and cloud-native operations.
- Must have unrestricted work authorization in the United States. Immigration-related sponsorship is not provided, including H-1B, O-1, L-1, E, OPT, STEM-OPT, CPT, TN, or J-1 support.
Nice to have
- Experience with Collibra data catalog and data governance.
- Proficiency in C# .NET, Python, or PowerShell.
- Previous Salesforce experience.
- Experience sharing data with internal and external users and cataloging external data platforms.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage with no premiums for employees and families.
- Generous paid time off, paid family leave, regional holidays, and foundation-paid retirement contributions.
- Opportunities to participate in employee communities within an inclusive and diverse workplace.
- Employment is contingent upon successful completion of a background check.
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