Remote Security Data Architect for AI Driven Risk Analytics

North Eastern Services; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Fusemachines is seeking a hands-on Senior Security Data Solution Architect with 7+ years of experience in large-scale security data and analytics within the financial services industry.

Responsibilities include architecting end-to-end security data solutions on AWS using Databricks and Snowflake, providing technical leadership, and guiding engineers in data modeling and governance in an Agile setting.

Qualifications

• Bachelor's degree in Computer Science, Information Security, or a related field.
• 7+ years of data architecture and hands-on engineering experience in security datasets and risk analytics in finance.
• Deep expertise in security telemetry normalization, data integration, and SIEM logging.

Responsibilities

• Architect end-to-end security data solutions on AWS using Databricks and Snowflake.
• Translate security requirements into scalable data models and designs.
• Provide technical leadership for queryable, scalable data storage and risk metrics.
• Mentor data engineers on data modeling, pipelines, and architecture best practices.
• Design data governance including metadata management and lineage tracking.
• Evaluate AI/ML services and LLMs to streamline security analytics.
• Ensure highly available, disaster recovery, and business continuity plans.
• Collaborate with cross-functional teams in an Agile environment.

Skills

Leadership

Data modeling

Mentoring

Agile methods

DevOps/DataOps

Security domain knowledge

Education

Bachelor's degree in CS/InfoSec

Tools

Databricks

Snowflake

PySpark

SQL

Kafka

AWS

Job description

Fusemachines is seeking a hands-on Senior Security Data Solution Architect with 7+ years of experience in large-scale security data and analytics within the financial services industry.

Responsibilities include architecting end-to-end security data solutions on AWS using Databricks and Snowflake, providing technical leadership, and guiding engineers in data modeling and governance in an Agile setting.