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Data Architect at Abnormal Security. Location Information: Remote - USA. . About the Role. . 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. . . . Who you are. . . 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.. . . What you will do . . . 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.. . . Must Haves . . . 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.. . . Nice to Have . . . 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.. . . . . #LI-MA1. . . . At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our . Benefits & Perks. page.. Base . salary. range:$170,000—$200,000 USD.