Principal Data Platform Architect

We hire only the strongest architects. This is a role for those who thrive in high-stakes environments, adapt instantly, and consistently deliver at the highest level.

As a Principal Data Platform Architect
, you will define and enforce enterprise data standards, lead pilots of emerging technologies, and design scalable platforms that power the business. You’ll be expected to own outcomes end-to-end
, move seamlessly from hands-on architecture to executive boardroom demos
, and set the bar for technical and strategic excellence across the organization.

This is not a maintenance role. It’s a leadership seat for someone who can shape the direction of enterprise architecture in a company scaling at an unprecedented pace.

• Define and enforce enterprise-wide architecture standards for data ingestion, modeling, governance, and integration.
• Architect scalable, secure, and high-performance platforms leveraging Python, Snowflake, Dagster, Azure, and containerization technologies
  .
• Establish Dagster orchestration patterns and frameworks as the enterprise standard, ensuring resiliency, observability, and reproducibility across data workflows.
• Lead high-visibility pilots and proofs-of-concept
  , introducing bleeding-edge technologies to the enterprise.

• Serve as the final escalation point for complex architectural challenges.
• Lead cross-functional teams under pressure, providing clarity and authority in ambiguous, high-stakes situations.
• Mentor senior engineers and architects, raising the standard across the organization.

• Operate directly with executives and senior leadership
  , shaping architectural decisions tied to business outcomes.
• Deliver boardroom-level demos and presentations that drive strategic alignment.
• Build strong, trusted relationships across IT, business, and product teams.

• Partner with Data Ops and Dev Ops to ensure governance, observability, compliance, and reliability at enterprise scale.
• Implement monitoring, alerting, and CI/CD practices for Dagster pipelines
  , ensuring production readiness.
• Drive platform roadmaps and prioritize initiatives based on strategic enterprise value
  .
• Constantly scout emerging technologies, leading adoption where they create advantage.
• Redefine best practices and patterns across enterprise architecture.
• Push boundaries, ensuring the organization stays ahead of competitors in data platform innovation
  .

• 10+ years in data architecture, data engineering, or enterprise solutions
  , with 3+ years in leadership or consulting roles
  .
• Expert-level proficiency in Python, Snowflake, and Dagster
  :
• Advanced data modeling, performance tuning, and optimization in Snowflake.
• Hands-on orchestration expertise in Dagster
  , including asset-based workflows, partitioned jobs, scheduling, and observability.
• Proven ability to establish enterprise-wide Dagster frameworks and lead teams in their adoption.
• Deep experience with Azure cloud services
  , containerization/orchestration (Docker, Kubernetes, Azure Container Apps), and modern CI/CD practices.
• Proven history of architecting and scaling enterprise-grade data platforms in demanding environments.
• Consulting pedigree
  : client-facing leadership, rapid promotion history, and success in navigating ambiguous, complex projects.
• Exceptional communication and executive presence
  ; equally confident in deep technical design and in C-suite conversations
  .
• A track record of thriving in high-growth, high-change environments where adaptability and decisiveness are paramount.

• A top-of-market compensation philosophy
  , ensuring we attract and retain the best talent.
• The opportunity to define enterprise architecture standards at scale in a rapidly growing,…