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# Platform Engineer

- **Company:** IntraEdge, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Continuous Integration, Information Engineering, Data Mart, Python (Programming Language), SQL Databases, Business Intelligence Development Studio, Snowflake, Terraform
- **Published:** October 13, 2026
- **Apply:** https://jobs.intraedge.com/jobdetails.asp?jo_num=20653&apply=yes&

## About the Role

* 4+ yrs data engineering/platform; solid SQL, Python; Snowflake performance basics.
 * Familiar with dbt/Dataform, Terraform, CI/CD, and BI tooling.

Leveling

 * R2 (L1): Executes analyses & implements known patterns with guidance.
 * R3 (L2): Leads domain optimizations, authors modules/templates, mentors juniors.

## Description

Role summary: Build and operate the FinOps data mart, dashboards, and guardrails; analyze workloads and implement optimizations., * Develop/maintain FinOps mart & dashboards (cost, usage, warehouse duty cycle, queueing, cache hit rate).

 * Analyze workloads (engineers/admins/analysts) and recommend right-sizing, clustering, pruning, materialization.
 * Operate FinOps tools (tags, monitors, usage exports, budget alerts) and cost tracking workflows.
 * Partner with admin/engineering/ops/BUs on adoption of FinOps standards; document runbooks.
 * Perform query analysis & tuning (joins, pruning, result reuse, MVs) and submit PRs to improve models.

Requirements

 * 4+ yrs data engineering/platform; solid SQL, Python; Snowflake performance basics.
 * Familiar with dbt/Dataform, Terraform, CI/CD, and BI tooling.

Leveling

 * R2 (L1): Executes analyses & implements known patterns with guidance.
 * R3 (L2): Leads domain optimizations, authors modules/templates, mentors juniors.

KPIs

 * Number of optimizations shipped, credits saved/quarter, % objects tagged, SLA adherence, dashboard adoption., * Develop/maintain FinOps mart & dashboards (cost, usage, warehouse duty cycle, queueing, cache hit rate).
 * Analyze workloads (engineers/admins/analysts) and recommend right-sizing, clustering, pruning, materialization.
 * Operate FinOps tools (tags, monitors, usage exports, budget alerts) and cost tracking workflows.
 * Partner with admin/engineering/ops/BUs on adoption of FinOps standards; document runbooks.
 * Perform query analysis & tuning (joins, pruning, result reuse, MVs) and submit PRs to improve models.