Senior Data Platform Engineer

Insight Global; Greenwood Village (CO); Hybrid; USD 69,000 - 83,000; Full time

Job summary

Insight Global is seeking two Senior Data Platform Engineers to design, build, and maintain cloud-native data infrastructure using IaC. You will manage Snowflake, Databricks, and AWS environments entirely through Terraform, with automated CI/CD pipelines and a software-like approach to versioning, testing, and peer review.

Position is 2 days/wk onsite in Greenwood Village, CO, starting Oct 1st. The role emphasizes platform reliability, security, monitoring, and cost governance, with strong

Qualifications

• 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

Responsibilities

• 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
• 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
• Provision and govern Snowflake (RBAC, warehouses, resource monitors) via code
• Provision and govern Databricks (workspaces, Unity Catalog, cluster policies, jobs) via code
• Build the AWS foundation (networking, IAM, encryption, storage) supporting both platforms
• Implement monitoring, cost visibility, and alerting across all three platforms
• Own reliability, security posture, and incident response for platform infrastructure

Skills

IaC as Software Product

CI/CD

Git workflows

Python/Go (automation)

Data platform

Tools

Snowflake

Databricks

AWS

Terraform

CI/CD pipelines

Git

Job description

• 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

Nice to Have Skills & Experience

• 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)
• 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

Job 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.

CORE RESPONSIBILITIES

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

Platform Engineering & Operations

• Provision and govern Snowflake (RBAC, warehouses, resource monitors) via code
• Provision and govern Databricks (workspaces, Unity Catalog, cluster policies, jobs) via code
• Build the AWS foundation (networking, IAM, encryption, storage) supporting both platforms
• Implement monitoring, cost visibility, and alerting across all three platforms
• Own reliability, security posture, and incident response for platform infrastructure

This position is 2 days a week onsite in Greenwood Village CO and will pay between $50-$60 per hour