Data Architect
Company: Abnormal
Location: Schiller Park
Posted on: July 1, 2025
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Job Description:
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.
Keywords: Abnormal, Milwaukee , Data Architect, IT / Software / Systems , Schiller Park, Wisconsin
