Senior Security Engineer, Data Security
Company websitekikoff.com (Kikoff, opens in new tab)
Base salary $268K to $321K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Kikoff: The Fintech Powering Financial Security at Scale
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.
We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.
Why Kikoff:
This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.
About the Role
Kikoff exists to help millions of people build credit. That only works if they trust us with their financial data. 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.
In This Role, You Will
Own the Pillar
- 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. You decide what good looks like and build towards it.
- Drive least-privilege access at scale, including brokered access patterns for our data warehouse and production databases rather than standing credentials.
Build & Secure
- 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.
Prove It
- Build audit logging and data access monitoring that holds up in front of auditors and regulators, not just dashboards
- 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
Enable Engineering
- Give engineers paved roads for handling sensitive data: reusable patterns, clear guidance, fast answers
- Threat model new data flows before they ship, not after
Qualifications
- 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)
Bonus Points
- 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
Base Range
$268,000—$321,000 USD
A note on applying: We know great candidates sometimes hold back if they don’t meet every qualification listed. If you’re excited about this role and believe you can do the work, we encourage you to apply. We’re looking for capability and trajectory, not a perfect checklist match.
Equal Employment Opportunity Statement
Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Please reference the following for more information.
Source: Kikoff on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($268,000) is above 87% of the 523 IT & Security roles in California listed on this site. Their median floor is $180,000; the middle half runs from $143,000 to $220,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Security Engineer, Data Security$268K to $321K
Staff Data Scientist, Grant$265K to $306K
Director, Securities & Corporate Counsel$265K to $310K
Senior Machine Learning Engineer$257K to $312K
Senior Director FP&A$250K to $275K
Senior Fullstack Engineer - User Retention & App Ecosystem$244K to $292K
Senior Backend Engineer - Growth$244K to $292K
Chart as a table
| Role | Published base |
|---|---|
| Senior Security Engineer, Data Security (this listing) | $268K - $321K |
| Staff Data Scientist, Grant | $265K - $306K |
| Director, Securities & Corporate Counsel | $265K - $310K |
| Senior Machine Learning Engineer | $257K - $312K |
| Senior Director FP&A | $250K - $275K |
| Senior Fullstack Engineer - User Retention & App Ecosystem | $244K - $292K |
| Senior Backend Engineer - Growth | $244K - $292K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-09
Where this pay comes from
Location as the employer wrote it: San Francisco
$268,000—$321,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
