Data Architect - Remote

Overview

Abnormal Security is seeking a Data Architect to lead the design and execution of scalable, secure, and intelligent data systems that power our business operations and decision-making. As part of the IT organization, you will define the architecture and strategy for our enterprise data ecosystem, with a focus on governance, quality, and usability. Your work will support cross-functional needs—including G&A, GTM, and product—enabling trusted data for analytics, AI, and business automation.

In Short

• Design and implement scalable, secure, and governed data architecture across enterprise systems.
• Establish and maintain enterprise data models, taxonomies, and metadata management standards.
• Lead the rollout of master data management (MDM) and data governance frameworks.
• Architect and optimize our Snowflake data warehouse and associated tools (e.g., dbt, Fivetran, Sigma).
• Define data integration patterns and ensure high data quality, consistency, and lineage.
• Collaborate across IT, GRC, GTM, and Product teams to support cross-functional data needs.
• Enable self-service analytics and AI/ML capabilities by structuring data for usability and accessibility.
• Monitor, document, and continuously improve data flows, storage, access, and compliance.
• Evaluate and integrate cloud-native data technologies, staying current with trends in data and AI.
• Mentor engineers and analysts on data modeling, system design, and governance best practices.

Requirements

• 7+ years of experience in data architecture, data engineering, or related roles in modern data environments.
• Expertise in cloud-based data warehousing (especially Snowflake), SQL, and data modeling techniques.
• Proven experience implementing enterprise data governance and MDM programs.
• Familiarity with data orchestration and transformation tools like dbt or Airflow.
• Strong understanding of metadata, lineage, and data quality frameworks.
• Deep knowledge of data security, compliance, and privacy in distributed environments.
• Demonstrated ability to work cross-functionally and translate business needs into technical architecture.
• Excellent written and verbal communication skills, with a bias for documentation and clarity.
• Experience leading data initiatives in cybersecurity or fast-growing startup settings.

Benefits

• Exposure to AI/ML systems and a working knowledge of data readiness for AI applications.
• Experience integrating BI tools (e.g., Sigma, Looker, Tableau) with governed data models.
• Familiarity with data catalogs, lineage tools, or data mesh principles.
• Previous work with real-time or event-based data architectures.
• Certifications in Snowflake, cloud platforms (AWS, GCP, Azure), or data governance frameworks.