Sr. Solutions Architect - Financial Services (Hunter)

가장 복잡한 고객 참여에 대한 기술 및 소비 전략 수립, 대형 고객의 데이터·AI 전략에 대한 임원급 자문 제공, 멀티 워크로드 플랫폼·전사 마이그레이션·실시간 시스템·대규모 AI/ML 아키텍처 설계 및 리드, Databricks 플랫폼 전문가로서 팀 내 멘토링 및 수평적 영향력 발휘, 경쟁 플랫폼 대비 포지셔닝 및 경쟁 전략 수립, DSAs/SSAs/파트너/프로덕트와의 크로스펑셔널 협업, 주니어 SA 코칭 및 개발, 고객 대상 콘텐츠·워크숍·커뮤니티 활동을 통한 thought leadership 기여

필수: 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role. Expert-level coding proficiency in Python, SQL, ideally Spark/PySpark. Deep expertise in enterprise data architecture, distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, cloud-native platforms. Expert-level Databricks Platform knowledge or equivalent depth. Declared technical specialization(예: real-time architectures, ML/AI platforms, data governance, large-scale migrations, industry-specific solutions). Proven track record of driving consumption growth and platform adoption in large accounts. Executive presence and ability to influence Directors/VPs/C-level stakeholders. Experience leading competitive displacements and complex enterprise evaluations. Strong strategic thinking and bachelor's/master's degree in CS, Engineering, or quantitative discipline(또는 동등 경험). 우대: Databricks certifications, Databricks/Snowflake/AWS/Google/Microsoft/top-tier data·AI company 경험, published thought leadership, industry vertical expertise.