Senior Security Engineer, Data Security
About The Position
Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money. This role owns the Data Security pillar at Kikoff: how data is classified, accessed, encrypted, moved, and audited across our entire stack. You will own and dictate the data security roadmap. You define the strategy, sequence the work, and drive it to done. Your work will be felt by every engineer at Kikoff and every customer we serve, and it will shape how we handle sensitive data as we scale.
Requirements
- 6+ years in security engineering with deep, hands-on data security experience: encryption, tokenization, access control design, key management.
- Strong command of AWS security primitives (IAM, KMS, S3 security, VPC controls).
- Experience securing a modern data stack: Snowflake or a comparable warehouse, plus relational databases in production.
- You've designed and shipped access control systems, not just configured them. Row/column-level security, ABAC/RBAC, access brokering.
- Fluency in at least one language for automation (Python, Go, Ruby, or similar).
- Comfortable in a regulated environment.
- Hands-on with infrastructure-as-code (Terraform or Pulumi).
Nice To Haves
- Experience securing data access for AI/LLM systems and agentic workloads.
- Tokenization at scale in fintech or payments.
- Audit logging and data access monitoring you built yourself, not bought.
- Privacy engineering depth: data mapping, retention, deletion pipelines, cross-border transfer controls.
- Consumer fintech or financial services background.
Responsibilities
- Own the data security roadmap end to end: classification, access controls, encryption, tokenization, and data flow security across AWS, Snowflake, and our internal pipelines.
- Set the strategy for how humans, services, and AI agents access sensitive data.
- Drive least-privilege access at scale, including brokered access patterns for our data warehouse and production databases rather than standing credentials.
- Design and ship tokenization and field-level protection for our most sensitive data.
- Build column-level and role-based access controls across Snowflake and RDS, with audit visibility into who touched what and why.
- Secure data flows between cloud storage, pipelines, and application services so the secure path is the default path.
- Define and enforce access controls for AI agents to guarantee least privilege permissions and proper audibility.
- Build audit logging and data access monitoring that holds up in front of auditors and regulators.
- Support data mapping and privacy engineering work for new markets and regulatory regimes (GLBA, LGPD, state privacy laws).
- Partner with Legal and Compliance on data handling requirements, and translate them into infrastructure, not policy docs.
- Give engineers paved roads for handling sensitive data: reusable patterns, clear guidance, fast answers.
- Threat model new data flows before they ship, not after.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
