Principal Data Engineer
Applied Systems, Inc.
- United States
- $160K – $260K /yr
- Lead/Staff
- 15+ years
- Posted
Skills
Required
- software/data engineering / architecture
- data architecture principles and best practices
- GCP
- BigQuery
- aplus
- data modeling
- dimensionalmodeling
- streaming architectures
- vector stores
- data governance
- dbt
Preferred
- AI-enabled data architecture
- data architecture
- batch/streaming platforms,warehouses
- lineagetracking
- access control
- cataloging
- OLAP / warehouse
- OLTP / transactional
- streaming / real-time
- AI/vector/feature-storeuse cases
Applied Systems is looking for a Principal Data Engineer to shape the architecturalfoundation of our Data and Analytics capabilities as we scale to enable better insights andlay the groundwork for AI across the enterprise. The ideal candidate brings deep dataarchitecture expertise with a commitment to embracing AI and enabling the success ofengineering teams across Applied.At Applied, Principal architects are force-multipliers — technical leaders and practitionerswho are passionate about designing, guiding, and teaching by doing . You will live ourLeadership owning outcomes, insisting on the highest standards, and inventingand simplifying solutions for our customers and teams.You will have an AI-First approach to architecture with a view of AI and automation asleverage to scale your impact beyond individual throughput.
About Applied Systems, Inc.
For over 40+ years, Applied has built technology that solves real problems for insurance professionals - and we’re still pushing what’s possible.
You’ll be part of our people-first culture built on trust, inclusion, and growth - where you’re supported to deliver, collaborate with teammates who care, and grow with leaders invested in your success.
Responsibilities
- You will define the long-termvision for AI-enabled data architecture, design and govern agentic workflowswith appropriate guardrails, and surface system-level insights that raise quality andvelocity across the domain.
- You’ll Do Define large-scale data architecture decisions — batch/streaming platforms,warehouses, and lakehouses — and evaluate tradeoffs for quality, scalability, andlong-term sustainability
- Architect observability, alerting, and incident-response frameworksto monitor the health and SLAs of data pipelines across the organization; serve asthe technical escalation point for complex data architecture problems
- Partner across Applied teams to define standards for data quality, lineagetracking, access control, cataloging, and governance; establish SLAs/SLOs forcritical data assets
- Design data modeling standards across OLAP/warehouse (dimensionalmodeling), OLTP/transactional, streaming/real-time, and AI/vector/feature-storeuse cases Define patterns for embedding AI and agent-supported workflows acrossthe data engineering lifecycle, and enable teams to adopt them at scale Define and enforce data engineering standards, best practices, and designpatterns across the organization
- Mentor and grow engineers through code reviews, design discussions, andtechnical guidance
- Influence cross-functional roadmaps by translating business requirementsinto sound data architecture strategies
Requirements
- You'll need to succeed 15+ years in software/data engineering or architecture with outstandingimpact
- Degree in Computer Science, a related field, or equivalent combination ofeducation and experience
- Expert knowledge of data architecture principles and best practices Hands-on builder experience (actively coding, testing, and validatingarchitecture at scale)
Proven ability to influence without authority
- Pragmatic approach and obsessed with eliminating waste Player-coach mindset with a commitment to teaching through action
- Adaptability, resilience, and the ability to thrive in ambiguity with iteration
- Excellent communication skills, able to meet your audience where they areand explain complex problems clearly
- Expertise across data and software technologies — GCP BigQuery and dbt aplus
- Proven experience architecting large-scale data warehouses or lakehouses
- Solid understanding of data modeling concepts including dimensionalmodeling and streaming architectures; experience with vector stores is a plus
- Strong understanding of data governance; experience implementing datacatalogs a plus
Pay
- Actual starting compensation will be determined based on a variety of factors, including a candidate's experience, skills, qualifications, and the scope and responsibilities of the role.
- In addition to base salary, eligible employees may participate in incentive compensation programs, such as annual bonuses or commissions, and receive a comprehensive benefits package.
Benefits
- How We’ll Support You We invest in the whole person, not just the role.
- Our benefits and resources are built to support your health, your time, and your life outside of work: Medical, Dental, and Vision Coverage Holiday and Vacation Time Health & Wellness Days A Bonus Day for Your Birthday Compensation Transparency The anticipated base salary range for this position in the United States is $160,000 - $260,000.
Talent shows up in a lot of different ways, and we mean that. We welcome candidates from all backgrounds and experience levels, including military members and their spouses and those without a traditional degree or tech background. If this role speaks to you, apply. Why You’ll Like Working on Team Applied The best work happens when smart people move fast, together.
Your Security Matters
Our candidates’ personal information and online safety are top of mind. Applied communicates with candidates only via a secure @appliedsystems.com email address or through our official careers portal. Recruiters will never request payments or ask for financial account or sensitive personal information like Social Security numbers. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, final decisions are always conducted by real humans.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. #LI-Hybrid / #LI-Remote#LI-US
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