Data Security Architect

IDEXX; Portland (ME); On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

Health benefits day-one

401k matching

Employee stock program

Volunteer days

Job summary

IDEXX is seeking a Data Security Architect to define the enterprise data security architecture, control patterns, and design standards across Snowflake, Databricks, M365, Box, and cloud environments (AWS-first). The role focuses on the “how” of data protection and is designed for leadership in architecture rather than day-to-day tooling.

The candidate will drive secure integration, governance, and reference architectures, enabling scalable protection and alignment with regulatory requirements.

Qualifications

• 7–10+ years in data or cloud security architecture.
• Proven ability design secure patterns across SaaS, cloud, and data platforms.
• Experience with DSPM, DLP, and data platform controls.

Responsibilities

• Define enterprise data security architecture and control patterns.
• Lead integration of DSPM, DLP, and data platform controls across systems.
• Develop secure design patterns and guidance for engineering teams.

Skills

Data security

Security architecture

Cloud security

DSPM

DLP

RBAC/ABAC

Tools

Snowflake

Databricks

Alation

Entra ID

M365

Box

Job description

The Data Security Architect is responsible for defining the enterprise architecture, control patterns, and design standards for protecting sensitive data across IDEXX’s platforms, including Snowflake, Databricks, M365, Box, and cloud applications (AWS-first).
This role ensures that data security capabilities—such as DSPM, DLP, and data platform controls—are designed correctly, integrated across systems, and scalable, enabling consistent protection of sensitive data across the enterprise.
This is a design and architecture leadership role, focused on the “how” of data protection, not day-to-day program execution or tool operations.

In this role, you will be responsible for…

• Data Security Architecture & Design

• Define the enterprise data security architecture, including:
• Data discovery and classification (DSPM integration)
• DLP/CASB control strategy (M365, Box, endpoint)
• Data platform security controls (Snowflake, Databricks)
• Application/API data protection patterns (cloud-first)
• Establish standard control patterns, including:
• Data classification and tagging models
• Encryption, tokenization, and masking strategies
• Data access control models (RBAC, ABAC, RLS)
• Data movement and sharing controls
• Ensure consistency and scalability of data protection across SaaS, cloud, and application environments
  

Platform Integration & Control Alignment

• Design and drive integration across:
• Snowflake and Alation (data catalog and ownership mapping)
• Entra ID (identity-driven access controls and policy enforcement)
• M365 and Box (data loss prevention and collaboration controls)
• Cloud environments (AWS, Azure, GCP)
• Ensure alignment between:
• DSPM findings
• DLP policies
• Data platform controls
• Translate data risk insights into technical control implementation requirements
  

Reference Architecture & Engineering Enablement

• Develop and maintain a Data Security Reference Architecture
• Define secure design patterns and implementation guidance for:
• Data engineering teams
• Application development teams
• Cloud platform teams
• Enable engineering teams to embed data protection into systems and workflows, rather than relying solely on downstream tooling
  

Collaboration with Program & Engineering Teams

• Partner with:
• Data Security Program Lead (execution and governance)
• Data Security Engineering Lead (implementation delivery)
• Cyber Defense / SOC teams (operational integration)
• Provide architectural direction and design input while ensuring:
• Execution teams can implement effectively
• Controls remain aligned to risk priorities
  

Standards, Governance & Continuous Improvement

• Define and evolve data protection standards aligned to:
• Data Management Policy (classification, handling, retention)
• Regulatory requirements (HIPAA, GDPR, etc.)
• Evaluate emerging capabilities and tools:
• DSPM platforms
• DLP/CASB solutions
• Data platform-native controls
• Continuously improve architecture based on:
• New data risks
• Platform evolution (Snowflake, AWS, etc.)
• Feedback from operations and engineering
  

What You Will Need To Succeed...

• 7-10+ years experience in: Data security, cloud security, or security architecture
• Location: this role is 100% virtual/remote, based in the US only, with a strong preference for EST time zone.
• Strong experience designing security for:
• Cloud-native data platforms (Snowflake, Databricks)
• SaaS and collaboration environments (M365, Box)
• Enterprise identity systems (Entra ID)
• Proven ability (via outcomes) to design and scale:
• Data classification and tagging models
• Data protection controls (DLP, masking, encryption)
• Access control models (RBAC, ABAC)
• Experience working across:
• Data engineering
• Application engineering
• Cloud platform teams
  

Technical Expertise

• Deep understanding of:
• Data protection architecture and lifecycle management
• Data platforms (Snowflake strongly preferred)
• Cloud environments (AWS preferred; Azure/GCP familiarity)
• Working familiarity with:
• DSPM tools (e.g., Cyera, BigID, etc.)
• CASB/DLP platforms (M365, endpoint, etc.)
• Data catalog and governance tools (e.g., Alation)
• Knowledge of:
  • Encryption, tokenization, and data masking techniques
  • Data access governance models and patterns
• Understanding of regulatory frameworks relevant to IDEXX (GDPR, SOC2, PCI DSS)
  

Leadership & Professional Skills

• Strong architectural thinking and system design capability
• Predilection towards action to achieve outcomes and refine design
• Ability to translate business data risk into technical architecture
• Excellent collaboration skills across engineering and security domains
• Ability to communicate via architectural diagrams, whitepapers, presentations
• Strong communication skills to:
• Influence technical and non-technical stakeholders
• Align teams on architecture and standards
  

It would be a plus if you had any of these...

• Experience implementing enterprise data security or DSPM programs
• Background working with data engineering or analytics teams
• Experience designing controls in Snowflake or similar platforms
• Certifications (AWS Certified Solutions Architect, CISSP, CCSP, etc.)
  

What You Can Expect From Us

• Base annual salary target: $120000 - $155000 (yes, we do have flexibility if needed)
• Opportunity for annual cash bonus
• Health / Dental / Vision Benefits Day-One
• 5% matching 401k
• Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more!
  

Why IDEXX?

We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from diseases. We have customers in over 175 countries and a global workforce of over 10,000 talented people.
So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.
Let’s pursue what matters together.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.