The Data Architect will unify data architecture across multiple SaaS products, optimize data storage solutions, mentor engineers, and drive strategic data initiatives for performance and efficiency.
Who We Are; What We Do; Where We’re Going
Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.
Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.
With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.
If you think you would be the right person to join our team working towards this goal, we would love to hear from you!
Role Overview
We're seeking an exceptional Data Architect to lead data storage strategy and design across our multi-product SaaS platform as we unify independent products into a coherent platform. This role combines strategic leadership with hands-on technical expertise—you'll shape our data architecture vision while getting into the details during implementation and troubleshooting.
NOTE: Candidate must reside in The United States.
Key Responsibilities
- Drive data architecture unification across multiple SaaS products, creating coherent patterns while respecting product needs.
- Partner with vertical technical leads to provide horizontal architectural support and alignment.
- Design and optimize data storage across multiple technologies—AWS OpenSearch/Elasticsearch, relational databases, S3, NoSQL, and data warehousing.
- Optimize for performance and resilience— indexing, querying, high availability, redundancy, and disaster recovery at scale.
- Support AI initiatives—partner with our AI specialist team on data architecture for AI capabilities.
- Bring clarity from ambiguity—translate complex challenges into clear architectural direction.
- Build capability, not dependencies—mentor engineers so teams become more self-sufficient.
- Balance performance, cost, and reliability across our platform.
Qualifications
- Deep expertise in AWS OpenSearch/Elasticsearch—you've solved hard problems at scale with indexing, querying, and performance.
- Broad data technology experience—relational databases (e.g. PostgreSQL, MySQL, RDS), object storage (S3), NoSQL (e.g. DynamoDB, MongoDB, Redis), data warehousing.
- Cloud and container knowledge—AWS preferred (Azure/GCP also valued); understand stateful services in Kubernetes.
- Proven platform architecture experience—track record of driving technical strategy across multiple teams or products at scale.
- Senior-level maturity—you make those around you better through mentorship and capability building.
- Influence without authority—you work effectively across teams, bring clarity from ambiguity, and think strategically.
- SaaS experience—comfortable with multi-tenant environments and operational excellence.
What Success Looks Like in Year 1
- Data alignment strategy executed—platform stores and searches data more efficiently.
- 2-3 high-impact problems resolved—key blockers addressed with measurable reliability improvements.
- Teams operating independently—engineers understand the "why" and apply principles without needing you for every decision.
- Knowledge multiplying—people you've mentored are teaching others.
- Working at high leverage—guiding multiple teams, not embedded in any single one.
Compensation & Benefits
The Compensation Range is for the primary location for which the job is posted. Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills. If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you. If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).
$195,000 - $245,000 (USD) a year
Salary range (min - max)
Position Type: New Position
Magnet is proud to offer benefits such as:
- Generous time off policies
- Competitive compensation
- Volunteer opportunities
- Reward and recognition programs
- Employee committees & resource groups
- Healthcare and retirement benefits
Indicators of Success
We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”. It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have ‘been there, done that”. We want to be part of your development journey, and we’ll learn as much from you as you learn from us.
How We Work
At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals.
We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best!
The Most Important Thing
We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences:
CARE – We care about each other and our mission to make a difference in the world.
OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect.
DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect.
EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work.
Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways.
Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact [email protected] should you require any accommodations.
All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.
US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
Top Skills
Aws Opensearch
Data Warehousing
DynamoDB
Elasticsearch
Kubernetes
MongoDB
MySQL
Postgres
Rds
Redis
S3
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