> Markdown version of [/jobs/ext/2999002-senior-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2999002-senior-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer - **Company:** Insight Global - **Location:** Greenwood Village, CO, United States - **Experience:** Expert - **Salary:** $104,000.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Automation of Tests, Computer Programming, Databases, Continuous Integration, Data Infrastructure, DevOps, Identity and Access Management, Python (Programming Language), Role-Based Access Control, Policy as Code, Delivery Pipeline, Snowflake, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Hashicorp, Data Management, Terraform, Software Version Control, Data Pipelines, Databricks - **Published:** September 19, 2026 - **Apply:** https://dejobs.org/x/x/8AA7F766D69E472FAAD3FB13B1CB3F45/job/ ## About the Role * 5+ years of hands-on data platform / data infrastructure engineering experience * Snowflake - production experience with warehouse sizing, RBAC, resource monitors, database/schema design, and cost governance * Databricks - production experience with workspace administration, cluster/compute policies, Unity Catalog, and job orchestration * AWS - production experience across core services (IAM, S3, VPC/networking, KMS, and compute) * Terraform - proven ability to author, modularize, and maintain production IaC across multiple providers * CI/CD - experience building and operating automated pipelines that plan, validate, and apply infrastructure changes * Proficiency with Git-based version control and branch-based workflows - Experience integrating the Snowflake and Databricks Terraform providers specifically (not just AWS) * Policy-as-code tooling (OPA / Sentinel / Checkov) for pre-apply guardrails * Programming proficiency in Python or Go for automation and tooling * Data orchestration exposure (Airflow / MWAA, dbt, or Databricks Workflows) * FinOps / cloud cost management experience across data platforms * Prior work standardizing IaC across multiple teams via shared module libraries * Relevant certifications: SnowPro, Databricks Certified Data Engineer, AWS (Solutions Architect / DevOps Engineer), HashiCorp Terraform Associate ## Description We are seeking two Senior Data Platform Engineers to design, build, and maintain cloud-native data infrastructure using Infrastructure as Code (IaC). This role sits at the intersection of data platform engineering and DevOps, responsible for standing up and operating our Snowflake, Databricks, and AWS environments entirely through Terraform, with fully automated CI/CD delivery pipelines. The ideal candidate treats infrastructure as a software product: version-controlled, tested, peer-reviewed, and deployed without manual intervention. Target start date for both positions is October 1st., Infrastructure as Code (Terraform) * Build and maintain reusable, versioned Terraform modules that provision Snowflake, Databricks, and AWS resources * Manage remote state (locking, encryption, workspace isolation per environment) * Keep environment configuration (dev/stage/prod) DRY and parameterized * Integrate the Snowflake, Databricks, and AWS Terraform providers into a cohesive, dependency-aware workflow CI/CD & Automation * Design pipelines that run format, validate, plan, policy checks, and gated apply on every change * Implement automated testing and drift detection for infrastructure * Enforce peer review, plan-output review, and approval gates before production applies * Integrate secrets management and least-privilege service credentials into the delivery pipeline ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Hate organising your photos? Try it with 5 Terabytes](https://www.wearedevelopers.com/videos/79-hate-organising-your-photos-try-it-with-5-terabytes) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)