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Data Platform Engineering Director Jobs in Colorado

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices. * Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge. AI / Data Platform ...

Showing results 21-40

Data Platform Engineering Director information

What is the difference between Data Platform Engineering Director vs Data Engineering Manager?

AspectData Platform Engineering DirectorData Engineering Manager
ResponsibilitiesOversees the design, development, and strategy of data platforms, ensuring scalability and performanceManages data engineering teams, oversees project execution, and ensures data pipelines meet business needs
Required SkillsStrong leadership, architecture expertise, cloud platforms, and data systems knowledgeTechnical data engineering skills, team management, project coordination
Work EnvironmentStrategic, cross-departmental, often executive-level collaborationOperational, team-focused, project-driven
Common UsageUsed in large organizations for high-level data infrastructure strategyUsed in organizations of all sizes for managing data engineering teams

The Data Platform Engineering Director focuses on strategic oversight and architecture of data platforms, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require technical expertise, but differ in scope and level of responsibility.

What cities in Colorado are hiring for Data Platform Engineering Director jobs?

Cities in Colorado with the most Data Platform Engineering Director job openings:

Infographic showing various Data Platform Engineering Director job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AWS Platform Engineer

Lakewood, CO

2T Consulting
IT Services • 51 - 200 employees

Full-time

Posted 28 days ago


Job description

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5–8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads.

Must-Have Skills
  • Strong experience with AWS S3, Glue, Athena, and EMR.
  • Hands-on experience with Terraform and AWS Infrastructure as Code.
  • Strong knowledge of VPC, IAM, Security Groups, VPC Peering, PrivateLink, and Transit Gateway.
  • Experience with Docker, GitLab CI/CD, and Artifactory.
  • Experience supporting Scala/Spark ETL pipelines.
  • Proficiency in Python, Linux, and Shell scripting.
  • Experience with CloudWatch, Prometheus, or Grafana.
  • Experience with REST APIs and AWS SDK/boto3.
  • Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices.
  • Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge.
AI / Data Platform Experience
  • Experience supporting AI agent runtime environments.
  • Experience with LangGraph and LangSmith Deployments is preferred.
  • Experience with cloud-based data lake and distributed data processing environments.
Responsibilities
  • Design and manage AWS infrastructure for Data Lake and AI workloads.
  • Manage cross-account connectivity, networking, IAM, and security.
  • Build and maintain CI/CD pipelines for AI agent deployments.
  • Support and troubleshoot Scala/Spark ETL pipelines and onboard new data sources.
  • Implement monitoring, alerting, automation, and incident response.
  • Develop reusable infrastructure and automation using Terraform and Python.
  • Collaborate with engineering teams and external platform owners on connectivity, security, and access requirements.