Senior Security Data Solution Architect

Senior Security Data Solution Architect

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

Remote (US or Canada)

Seeking a hands-on Senior Security Data Solution Architect with 7+ years of experience designing and implementing large-scale security data and analytics solutions within the financial services industry. The ideal candidate possesses deep security domain fluency, expertise in ingesting, normalizing, and standardizing security telemetry and SIEM logging, and a strong understanding of Databricks alongside Snowflake on AWS. Must have proven experience in data architecture leadership, business continuity, disaster recovery, high availability, and modern AI/agentic integration capabilities.

Responsibilities

• Architect end-to-end security data solutions on AWS, utilizing Databricks and Snowflake to integrate, normalize, and standardize disparate security telemetry and SIEM logs.
• Translate functional and non-functional security requirements into scalable data models, low-level designs, and standardized architectural artifacts.
• Provide technical leadership to build queryable, sustainable data storage layers that move away from BI-heavy dependencies and answer critical operational and risk metrics for the security leadership team.
• Guide and mentor data engineers and analysts on data modeling, pipeline development, and data architecture best practices.
• Design data governance solutions including metadata management, data cataloging, quality framework enforcement, and lineage tracking across security domain datasets.
• Evaluate and integrate AI/ML services and natural language interrogation layers (such as LLMs and agentic development tools) to streamline security incident analysis and bespoke data queries.
• Design highly available, scalable, and resilient data solutions, including disaster recovery and business continuity plans.
• Collaborate with cross-functional security, risk, and product management teams in an Agile environment.

Qualifications

• Bachelor's degree in Computer Science, Information Security, or a related field.
• 7+ years of data architecture and hands-on engineering experience with a strong focus on security datasets and risk analytics in the financial industry.
• Deep expertise in security telemetry normalization, data integration, and SIEM (Security Information and Event Management) logging platforms.
• Hands-on experience with Databricks and Snowflake architectures, PySpark/Spark, SQL, data lakes/lakehouses, ELT/ETL pipelines, and stream processing tools (e.g., Kafka).
• Strong practical understanding of AWS cloud infrastructure and security tools.
• Familiar