Posted 16 June, 2026
Platform Engineer
IntraEdge
NC,IN,411014
Full Time
Reference: 264_466607_20653
Role summary: Build and operate the FinOps data mart, dashboards, and guardrails; analyze workloads and implement optimizations.
Key responsibilities
• 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.
Key responsibilities
• 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.
Role summary: Build and operate the FinOps data mart, dashboards, and guardrails; analyze workloads and implement optimizations.
Key responsibilities
• 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.
Education:Employment Type: FULL_TIME
Key responsibilities
• 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.
