Our Client Currently looking for Principal Data Engineer

What You’ll Do

• 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

What You’ll need to succeed

• 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

• Are you interested in this position?

   

  Apply by clicking on the “Apply Now” button below!

   

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