Sr Analyst, Data Platform Engineering

United Rentals; Scottsdale (AZ); On-site; USD 120,000 - 165,000; Full time

Job summary

United Rentals is seeking a Senior Analyst, Data Platform Engineering to serve as the primary Snowflake administrator and data pipeline engineer. You will ensure day-to-day security, performance, and reliability of the Snowflake platform and build curated data layers powering BI and AI.

You will lead AI enablement across the analytics org, configure AI agents, design semantic views, and collaborate with data architecture teams to provide trusted data for enterprise applications.

Qualifications

• Experience as Snowflake administrator and data pipeline designer.

Responsibilities

• Snowflake Platform Administration: manage users, roles, warehouses, security policies.
• Monitor platform health, performance, and cost; tune workloads for SLAs.
• Audit and remediate security issues.
• Manage availability between Snowflake accounts and partner platforms.
• Test Snowflake Private Preview capabilities and document findings.
• Data Pipeline & Ingestion Engineering: design and maintain data pipelines from multiple sources.
• Build transformation workflows across Foundation, Processed, and Curated layers.
• Monitor pipelines, troubleshoot failures, and ensure data quality.
• Onboard new data sources and define ingestion standards.
• Document pipeline design, dependencies, and data lineage.
• AI & Agent Enablement: enablement, testing, and rollout of AI applications and copilots.
• Configure and monitor agents and integrations.
• Collaborate on context-layer efforts for reliable data access.
• Curate Data & Semantic Views: build curated datasets and data models for dashboards and agents.

Skills

Snowflake admin

Data pipelines

AI integration

Governance

Job description

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