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HumCap

Enterprise Data Architect

HumCap, Dallas, Texas, United States, 75215

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This range is provided by HumCap. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range

$170,000.00/yr - $250,000.00/yr Direct message the job poster from HumCap 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. Youll 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. Its a leadership seat for someone who can

shape the direction of enterprise architecture

in a company scaling at an unprecedented pace. Key Responsibilities 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 . 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 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 companys data strategy . The chance to work with

bleeding-edge technologies

and set standards for enterprise adoption.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Software Development

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