Engineer Lead, Data

Description

About the company

Are you curious, motivated, and forward-thinking? At the company you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

The Enterprise Data & AI team builds and operates the company data platforms that enable secure, reliable and governed use of data across banking, capital markets and corporate functions. The Snowflake platform team supports data engineering, platform administration, product onboarding, secure data exchange, cost optimization and regulatory controls across cloud environments.

What you will be doing

You will lead the design and delivery of enterprise data-platform capabilities centered on Snowflake. You will combine hands-on engineering with technical leadership to improve secure data sharing, platform automation, governance, performance and operational resilience. You will partner with product, security, cloud and data teams to move complex solutions from design through production.

Lead the design, engineering and support of Snowflake platform capabilities, including account onboarding, data products, secure data exchange and client-facing data services.

Define reusable patterns for Snowflake Secure Data Sharing, listings and reader accounts, with appropriate access controls, masking, validation and operational documentation.

Build and improve platform automation using SQL, Python, Streamlit, Git-based workflows and infrastructure-as-code practices.

Establish and maintain platform controls for role-based access, data classification, encryption, audit evidence and compliance with security requirements.

Optimize platform performance and cost through workload analysis, warehouse sizing, resource monitoring, budget controls and usage attribution.

Provide technical direction, review solution designs, resolve complex production issues and mentor engineers across data and cloud platform work.

What you bring

Strong experience designing and operating enterprise data platforms, with advanced hands-on knowledge of Snowflake administration and engineering.

Proficiency with SQL and Python, plus experience building reliable automation and deployment workflows through Git and continuous delivery practices.

Experience implementing secure data-sharing, identity and access management, encryption, data protection and least-privilege role models.

Working knowledge of public cloud services in AWS and/or Microsoft Azure and their integration with modern data platforms.

Ability to translate business, security and operational requirements into scalable technical designs and clear implementation plans.

Demonstrated technical leadership, problem-solving and communication skills across distributed engineering and stakeholder teams.

Bonus if you have

Snowflake professional certification or comparable advanced platform experience.

Experience with Databricks, Terraform, Streamlit, Snowflake Cortex or governed AI platform capabilities.

Knowledge of PCI DSS, SOX or other controls relevant to regulated financial-services data.

Experience supporting data-product migrations, platform modernization or high-volume client onboarding.

Benefits

• A competitive salary and benefits.
• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities.
• A variety of career development tools, resources and professional education opportunities.
• The chance to work on some of the most challenging, relevant issues in financial services and technology.
• A work environment built on collaboration, flexibility and respect.