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Applied Systems Canada

Principal Data Engineer

UNAVAILABLE, United States

The anticipated base salary range for this position in Canada is $200,000 - $250,000 CAD.

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Job details

Pay: The anticipated base salary range for this position in Canada is $200,000 - $250,000 CAD.
Apply by: Nov 4, 2027
Posting language: English
Posted: Nov 4, 2024

Original job description

Canada External Job Ad

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 Principles: 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. 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.

What 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

What 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

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 AppliedThe best work happens when smart people move fast, together. 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.

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 Canada is $200,000 - $250,000 CAD. 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.

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.

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