Senior Data Architect, Abnormal Security

• A systems thinker who designs data architecture to be modular, scalable, and business-aligned
• Obsessed with data quality and integrity—recognizing governance and MDM as enablers of speed and trust
• Hands-on technical leader with experience in enterprise data platforms like Snowflake, dbt, and modern ETL tools
• Someone who thrives in fast-paced environments with shifting priorities and complex stakeholder needs
• Able to translate business needs into technical solutions while balancing flexibility, security, and compliance
• An evangelist for data standards, best practices, and the long-term value of clean architecture
• Naturally collaborative, empathetic, and driven by a desire to support teams through better data
• Familiar with the demands of cybersecurity or high-growth startup environments
• Committed to velocity, ownership, and continuous improvement as core ways of working
• Passionate about the potential of AI and machine learning, and how clean data accelerates that future
• 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

Desirable

• 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
• This is a foundational role for Abnormal’s data future
• You’ll be responsible for implementing data governance frameworks, managing enterprise data models, and guiding the evolution of our cloud-native data infrastructure
• The ideal candidate brings deep technical expertise, strong business acumen, and a passion for building systems that scale with excellence
• 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