Senior Staff Software Engineer, Data Platform
You will define and own the technical strategy and architecture across data ingestion, transformation, warehousing, streaming, and serving systems. You will design data infrastructure to natively support AI and ML workloads, drive the evolution to near-real-time data availability, and execute multi-quarter roadmaps that focus on engineering-led cost reduction. You will mentor and elevate engineers, align cross-functional partners on technical priorities, and represent the domain in architecture reviews and planning forums.
Responsibilities
- Define and drive technical strategy and architecture for data ingestion, transformation, warehousing, streaming, and serving systems
- Develop and execute multi-quarter roadmaps that prioritize engineering-led cost reduction
- Architect data infrastructure to natively support AI and machine learning workloads
- Enable near-real-time data availability for downstream teams
- Mentor and elevate engineering talent
- Drive cross-functional alignment with product, infrastructure, data engineering, analytics, ML, privacy, security, and compliance stakeholders
- Serve as the primary technical voice in org-wide planning, OKR discussions, and architecture reviews
Requirements
- Deep experience building and operating large-scale distributed data infrastructure, including streaming platforms, data lakes, batch and real-time processing engines, and query/serving layers
- Strong systems thinking and the ability to reason about performance, reliability, cost, security, and privacy across the data lifecycle
- Proven experience moving teams from managed-service dependency to engineering-built, platform-grade infrastructure
- Platform mindset with strong focus on developer experience, reducing friction, and creating leverage
- Experience designing data systems that support ML training pipelines, feature stores, real-time inference, or AI agent workloads at scale
- Proven track record owning technical strategy and architecture for a domain across multiple teams
- Demonstrated ability to responsibly use generative AI tools and copilots in daily workflows
- Experience at high-scale tech-forward fintech, crypto, or financial services companies
- Familiarity with compliance, data governance, or regulatory data requirements
- Experience with change data capture (CDC), Kafka Connect, or real-time ETL pipelines
- Experience with Databricks and/or Snowflake
- Experience operating large-scale data platforms on public cloud infrastructure
- Background contributing to open-source data infrastructure projects
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Bonus eligibility