Director of Software Engineering - Data & AI

What you'll do

• Set technology strategy and oversee Snowflake-centered data platforms processing approximately 600 million transactions daily.
• Scale controlled agentic AI-enabled engineering and SDLC/TLM automation, and enable secure data use by AI agents and advanced analytics.
• Lead multiple engineering teams and deliver reliable data and reporting solutions for merchants and internal partners.

What they ask for

• 15+ years of software engineering experience, including at least 5 years building and managing large-scale, business-critical distributed data platforms; a Bachelor’s or Master’s degree in Computer Science or a related technical field is also required.
• Experience leading adoption of agentic AI-enabled engineering practices, including validation, outcome measurement, and secure handling of sensitive inputs and outputs.
• Experience leading Snowflake-based data platforms or comparable enterprise-scale cloud data ecosystems.
• Experience operating high-volume data systems and delivering complex programs with stringent availability, recovery, data quality, and control requirements; track record in global banking or a similarly regulated environment.

Nice to have

• Strong data engineering foundations, including data modeling, ETL/ELT, streaming and batch processing, metadata management, and multimodal search.
• SQL and at least one general-purpose programming language, commonly Python or Java; distributed systems and cloud architecture knowledge.

Tools

Snowflake, SQL, Python, Java

AI focus

Lead enterprise-authorized agentic AI-enabled engineering and SDLC/TLM automation, with controls for validation, security, resilience, traceability, and reuse; enable governed data consumption by AI agents and advanced analytics.