Great Company. Great People. Great Opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals! The Senior Analyst, Data Platform Engineering serves as the team's primary Snowflake administrator and data pipeline engineer, responsible for the day-to‑day security, performance, and reliability of United Rentals' Snowflake platform. This role designs and builds data pipelines that ingest data from a wide variety of sources, and develops the curated, agent‑ready data layers that power the enterprise's BI and AI ecosystem. The Senior Analyst plays a lead role in enabling AI applications such as Claude and ChatGPT across the organization, including configuring and monitoring AI agents, building semantic views, and managing data shares between Snowflake accounts. This person is also responsible for activating and testing Snowflake Private Preview capabilities, helping the team stay ahead of platform innovation and bringing new capabilities into production.
What You'll Do
* Snowflake Platform Administration
* Serves as the primary Snowflake administrator for URI's Discovery accounts; managing users, roles, warehouses, RBAC / RLS / CLS, security policies, and other account‑level configurations.
* Monitors platform health, performance and cost, tuning workloads as needed to meet business SLAs.
* Audits and remediates security issues.
* Manages availability between Snowflake accounts and partner platforms, whether cloud or on‑prem.
* Activates, tests, and evaluates Snowflake Private Preview capabilities (e.g., Agent / CoWork / Semantic enhancements, new ingestion or compute features, etc.) ahead of general availability, documenting findings and recommending adoption strategies.
* Data Pipeline & Ingestion Engineering
* Designs, builds, and maintains data pipelines that ingest data from a variety of internal and external sources using multiple techniques including CDC / mirror replication, API‑based ingestion, custom scripts, and traditional batch and file‑based loads.
* Builds and maintains transformation workflows across the Foundation, Processed, and Curated layers of the enterprise data warehouse.
* Monitors pipeline and job performance, troubleshoots failures, and resolves data quality or timeliness issues.
* Partners with source system owners and corporate teams to onboard new data sources and define ingestion standards.
* Documents pipeline design, dependencies, and data lineage to support governance and troubleshooting.
* AI & Agent Enablement
* Supports enablement, testing, and rollout of AI applications and copilots (e.g., Claude, ChatGPT/Copilot, Snowflake Cortex Agents) across the analytics organization.
* Helps set up, configure, and monitor agents (e.g., Executive Agent, BI Agent, Ontology Agent), including MCP server‑based agent‑to‑agent integrations.
* Partners with the broader data architecture team on context‑layer efforts (ontology, knowledge graph) so agents can reliably query curated business data.
* Curate Data & Semantic Views
* Builds and maintains curated data sets and business data models that feed dashboards, semantic views, and downstream agents.
* Designs and
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What You'll Do
* Snowflake Platform Administration
* Serves as the primary Snowflake administrator for URI's Discovery accounts; managing users, roles, warehouses, RBAC / RLS / CLS, security policies, and other account‑level configurations.
* Monitors platform health, performance and cost, tuning workloads as needed to meet business SLAs.
* Audits and remediates security issues.
* Manages availability between Snowflake accounts and partner platforms, whether cloud or on‑prem.
* Activates, tests, and evaluates Snowflake Private Preview capabilities (e.g., Agent / CoWork / Semantic enhancements, new ingestion or compute features, etc.) ahead of general availability, documenting findings and recommending adoption strategies.
* Data Pipeline & Ingestion Engineering
* Designs, builds, and maintains data pipelines that ingest data from a variety of internal and external sources using multiple techniques including CDC / mirror replication, API‑based ingestion, custom scripts, and traditional batch and file‑based loads.
* Builds and maintains transformation workflows across the Foundation, Processed, and Curated layers of the enterprise data warehouse.
* Monitors pipeline and job performance, troubleshoots failures, and resolves data quality or timeliness issues.
* Partners with source system owners and corporate teams to onboard new data sources and define ingestion standards.
* Documents pipeline design, dependencies, and data lineage to support governance and troubleshooting.
* AI & Agent Enablement
* Supports enablement, testing, and rollout of AI applications and copilots (e.g., Claude, ChatGPT/Copilot, Snowflake Cortex Agents) across the analytics organization.
* Helps set up, configure, and monitor agents (e.g., Executive Agent, BI Agent, Ontology Agent), including MCP server‑based agent‑to‑agent integrations.
* Partners with the broader data architecture team on context‑layer efforts (ontology, knowledge graph) so agents can reliably query curated business data.
* Curate Data & Semantic Views
* Builds and maintains curated data sets and business data models that feed dashboards, semantic views, and downstream agents.
* Designs and
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Sr Analyst, Data Platform Engineering in scottsdale at Unknown Company
This position is listed as full time and onsite.