Principal Data Architect

• Define large-scale data architecture decisions - batch/streaming platforms
  warehouses and lakehouses - and evaluate tradeoffs for quality scalability and
  long-term sustainability
• Architect observability alerting and incident-response frameworks
  to monitor the health and SLAs of data pipelines across the organization; serve as
  the technical escalation point for complex data architecture problems
• Partner across Applied teams to define standards for data quality lineage
  tracking access control cataloging and governance; establish SLAs/SLOs for
  critical data assets
• Design data modeling standards across OLAP/warehouse (dimensional
  modeling) OLTP/transactional streaming/real-time and AI/vector/feature-store
  use cases
• Define patterns for embedding AI and agent-supported workflows across
  the data engineering lifecycle and enable teams to adopt them at scale
• Define and enforce data engineering standards best practices and design
  patterns across the organization
• Mentor and grow engineers through code reviews design discussions and
  technical guidance
• Influence cross-functional roadmaps by translating business requirements
  into sound data architecture strategies

• 15+ years in software/data engineering or architecture with outstanding
  impact
• Degree in Computer Science a related field or equivalent combination of
  education and experience
• Expert knowledge of data architecture principles and best practices
• Hands-on builder experience (actively coding testing and validating
  architecture 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 are
  and explain complex problems clearly
• Expertise across data and software technologies - GCP BigQuery and dbt a
  plus
• Proven experience architecting large-scale data warehouses or lakehouses
• Solid understanding of data modeling concepts including dimensional
  modeling and streaming architectures; experience with vector stores is a plus
• Strong understanding of data governance; experience implementing data
  catalogs a plus

• Medical Dental and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• A Bonus Day for Your Birthday

What We Do

Transforming the insurance industry is ambitious we know. That’s why at Applied we’re building a team that shows up every day ready to learn willing to try new things and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too. At Applied we have a mission and a vision that guide us values that anchor us and a determination to achieve that propels us forward. We push the boundaries of innovation to solve the biggest challenges in insurance – helping us earn the title of indispensable partner from our customers. Our teammates show up as they are creating an authentic environment that fosters collaboration curiosity and connections – and one that doesn’t waste time on the unnecessary confines of corporate bureaucracy or hierarchy. No matter the role or title you have a voice at the table space to work hard and achieve and unending opportunities to be a great teammate.

Why Work With Us

Our commitment to you is simple: when you bring your best we promise you a place where amazing career moments are made possible.

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