Note: The job is a remote job and is open to candidates in USA. Applied Systems is seeking a Principal Data Engineer to shape the architectural foundation of its data and analytics capabilities. The role focuses on large-scale data architecture, AI-enabled data workflows, governance, observability, modeling standards, and mentoring engineering teams.
Responsibilities
- 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
Skills
- 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
- Proven experience architecting large-scale data warehouses or lakehouses
- Expertise across data and software technologies — GCP BigQuery and dbt a plus
- 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
Benefits
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- A Bonus Day for Your Birthday
- Eligible employees may participate in incentive compensation programs, such as annual bonuses or commissions
- A comprehensive benefits package
Company Overview
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