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Principal Data Platform Architect

Principal Data Platform Architect

HumCapAddison, TX, TX, US
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Principal Data Platform Architect

Department : Enterprise Architecture

Location : Hybrid / Remote  Position Summary

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.  Key Responsibilities

Architecture & Standards

  • 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.

Leadership & Execution

  • 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.

    • Stakeholder Engagement

  • 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.

    • Governance & Reliability

  • Partner with Data Ops and DevOps 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 .

    • Innovation & Impact

  • 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 .

    • Core Requirements

  • 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.

    • What We Offer

  • 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, innovative company.
  • A fast-moving environment where impact is immediate and highly visible at the executive level.
  • Direct ownership of initiatives that will shape the trajectory of the company’s data strategy .
  • The chance to work with bleeding-edge technologies and set standards for enterprise adoption.
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