Need Senior Data Engineer (Security domain) or Cloud Security Engineer or Platform Security Engineer

Description

The Engineering Tech Lead will operate at the intersection of security, cloud infrastructure, and data engineering, translating complex security and business challenges into scalable, data-driven solutions. This role provides technical leadership, drives architecture decisions, and ensures delivery of secure, reliable, and high-scale data platforms that enable actionable security insights and prioritization across engineering teams.

Responsibilities:

-Technical Leadership

-Define and drive technical strategy for data engineering within Cloud & Platform Security

-Architect end-to-end data platforms supporting security telemetry, risk analytics, and compliance reporting

-Establish engineering standards and best practices across data ingestion, transformation, storage, and access control

-Own and communicate key architecture decisions and trade-offs

-Accountable for BAU vulnerability work inclusive of triaging, tracking routine patches, and SLA tracking.

-They will need to familiarize themselves with the firm’s scanning tools and processes, triaging vulnerabilities, communicating status, guiding system owners in remediation, updating cases, reviewing system owner comments and requests.

-VM Analyst will also be required to develop deep operational expertise of the platform in order to mature and improve the platform determine possible future automation needs and work with the dev team to fix bugs, test fixes in QA, and streamline the processes via the platform.

-These resources must also be able to explain and present the VM process and tool usage to system owners.

-These resources should be specifically prepared for zero-day response and bypass of normal patch SLAs

-The response window compresses to mere hours inclusive of Weekend and Holiday times.

-These resources will be expected to be part of the on call schedule representative of their timezones and ensure appropriate follow the sun hand off of an active issue.

-Solution Design & Problem

-Solving Partner with security, engineering, product, and compliance stakeholders to translate complex requirements into scalable solutions

-Decompose ambiguous challenges into structured, actionable technical designs

-Lead discovery and requirements definition to ensure solutions address root problems

-Execution & Delivery

-Lead design and development of scalable cloud-based data platforms (AWS, Azure, Google Cloud Platform)Build and maintain systems handling high-volume security data (logs, alerts, audit trails, telemetry)Ensure strong data quality, observability, governance, and performance across platforms

-Team Leadership & Collaboration

-Mentor and guide engineers through code reviews, design sessions, and technical coaching

-Drive a culture of engineering excellence, accountability, and continuous improvement

-Act as a technical advisor in architecture reviews and cross-functional planning

-Partner with stakeholders to ensure secure, scalable, and reusable solutions

Required Qualifications:

-7+ years of experience in software or data engineering, vulnerability, technology security operations or response functions.

-Experience in a technical lead or team leadership role

-Proven ability to translate complex business and security challenges into scalable technical solutions

-Experience building data platforms/products that deliver actionable insights to end users

-Hands-on experience designing and operating large-scale cloud platforms (AWS, Azure, or Google Cloud Platform)Vulnerability management knowledge

Vulnerability Scanning tooling knowledge

- CVSS / EPSS / exploitability

-OS/app patching ecosystems

-cloud vs on-prem differences

-scripting / automation ? threat intel integration

Preferred Skills

-Experience building security-focused or developer-facing platforms

-Familiarity with vulnerability management data (e.g., CVE, CVSS, EPSS) and prioritization methodologies

-Experience in cloud security, platform security, application security, or similar domains

-Experience with large-scale data engineering and cloud-native services

-Background working in regulated environments or