What's the salary range?

Kikoff lists $268,000–$321,000 for this role.

How much experience is required?

At least 6 years of relevant experience for this Senior Security Engineer, Data Security role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Go, Pulumi, Python, Ruby, Snowflake.

What seniority level is this role?

Kikoff targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Senior Security Engineer, Data Security role at Kikoff.

Senior Security Engineer, Data Security at Kikoff

Joblaze summary

The Senior Security Engineer for Data Security at Kikoff is responsible for developing and managing the data security roadmap, ensuring that sensitive information is classified, accessed, and protected effectively. This role requires expertise in AWS security, encryption, and access control design, along with hands-on experience in securing modern data stacks like Snowflake. Ideal candidates will have over six years in security engineering, particularly in fintech or regulated environments, and a strong background in automation and infrastructure-as-code. Kikoff's fast-paced, consumer-focused environment emphasizes ownership and collaboration among its team.

Joblaze insights

Listed 2 days ago — first seen on Joblaze September 28, 2026. Last confirmed on Kikoff's careers page September 30, 2026.
Salary band is above the typical range for Security roles (median ~$170,000).
Starts above 89% of 96 comparable senior security roles in United States that list Python we track (median $172,200 across 43 companies). See Python salary trends
Python appears in 40.2% of 316 comparable senior security roles in United States; Pulumi appears in 0.6% of 316 comparable senior security roles in United States.

Quick facts

What's the salary range?: Kikoff lists $268,000–$321,000 for this role.
How much experience is required?: At least 6 years of relevant experience for this Senior Security Engineer, Data Security role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Go, Pulumi, Python, Ruby, Snowflake.
What seniority level is this role?: Kikoff targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Security Engineer, Data Security role at Kikoff.

From the original posting

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.

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

Equal Employment Opportunity Statement

Standard company text repeated across Kikoff's postings is omitted here.