Senior Manager (Data Engineering Team) – Field CTO / Applied Field Engineering

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Applied Field Engineering / Field CTO Office is seeking a Senior Manager to lead a high-performing team of Data Engineering Field CTOs. In this role, you will provide the strategic vision, people leadership, and deep technical oversight required to help our most strategic customers design, build, and optimize next-generation data and AI architectures on the Snowflake Cloud Data Platform. As a leader in the Field CTO office, you will foster a culture of execution, mentorship, and continuous growth. You are equally comfortable inspiring a team of deeply technical engineers, collaborating with product executives, and advising customer stakeholders on data engineering and AI strategies across diverse markets. IN THIS ROLE, YOU WILL - Build, manage, and mentor a world-class team of Field Data Engineers, fostering an inclusive, high-performance culture that champions diversity, psychological safety, and professional growth. - Partner with sales leadership and strategic customers to tackle complex data engineering and AI workloads, ensuring successful onboarding and architectural excellence on Snowflake. - Establish clear goals, drive accountability, and celebrate impact, enabling your team to execute efficiently across multiple sub-regions and time zones. - Serve as a trusted advisor to both technical contributors and C-level executives, translating complex data engineering, streaming, and AI concepts into business value. - Act as a critical feedback loop between the field and engineering, collaborating closely with Product Management to shape the future of Snowflake’s data engineering and AI capabilities based on global market needs. - Partner with Product Marketing to scale your team’s expertise through technical blogs, whitepapers, customer roundtables, and industry conferences. ON DAY ONE, WE WILL EXPECT YOU TO HAVE LEADERSHIP AND CULTURE - 5+ years of experience directly managing and scaling high-performing technical teams in Data Engineering, Solutions Architecture, or Field Engineering. - Experience managing and scaling geographically distributed teams, with a deep understanding of the cultural dynamics, business practices, and customer landscapes across APJ. - A strong passion for mentoring engineers, supporting career development, and building diverse, inclusive teams where every voice is heard across regions. - A results-oriented mindset, with experience driving accountability and high performance within a technical organization. DOMAIN EXPERTISE - Strong understanding of modern data engineering ecosystems, advanced analytics, and the operationalization of AI/ML workloads such as LLMs, RAG, and feature stores. - Deep knowledge of data integration patterns, streaming and real-time ingestion, and data pipeline orchestration best practices. - Strong technical foundations in SQL, Python, or Scala, with the ability to talk shop and maintain credibility with highly technical talent. COMMUNICATION AND EDUCATION - Exceptional presentation and communication skills, with the ability to navigate complex customer relationships at the executive level across diverse international markets. - Proven ability to assess technical gaps in teams or customer architectures and clearly articulate solutions that drive business outcomes. - Bachelor’s d