Lead Analyst, Data Platform Engineering

United Rentals (N A); United States; Remote; USD 130,000 - 180,000; Full time

Job summary

United Rentals is seeking a Lead Analyst, Data Platform Engineering to manage Snowflake and data pipelines across the enterprise. You will configure security, optimize performance, manage multi-account architecture, and enable AI copilots to power BI/AI workloads.

You will design curated data layers, maintain semantic views, and partner with source teams to onboard new data, document lineage, and ensure governance. Strong SQL and ETL/ELT experience are required.

Qualifications

• Bachelor's Degree in Computer Science, Information Systems, or a related technical field (Master's preferred).
• 5+ years in database/platform administration or data engineering.
• 1+ years leading complex projects.
• Hands-on experience with multi-account Snowflake architecture.
• Strong SQL and data ingestion/ETL/ELT skills.
• Familiarity with AI/LLM enablement tools such as Claude and ChatGPT.

Responsibilities

• Administrate Snowflake platform: users, roles, warehouses, RBAC/RLS/CLS, security policies.
• Monitor health, performance, and cost; tune workloads to meet SLAs.
• Audit and remediate security issues.
• Maintain availability across Snowflake accounts and partner platforms.
• Activate and test Snowflake Private Preview features; document findings.
• Design, build, and maintain data pipelines using CDC, API-based ingestion, and batch/file loads.
• Develop and maintain transformation workflows across Foundation, Processed, and Curated layers.
• Monitor pipelines; troubleshoot failures and data quality issues.
• Onboard new data sources and define ingestion standards; document lineage and design.
• Enable AI copilots and agents (Claude, ChatGPT, Copilot) across analytics teams; configure agents and integrations.
• Create curated data sets and semantic views to support dashboards and AI consumption layers.
• Collaborate with BI and analytics teams to ensure self-service readiness; ensure production readiness.

Skills

SQL programming

Snowflake administration

Data engineering

AI/LLM enablement

Cloud data platforms

Education

Bachelor's degree in CS/IS or related

Master's degree preferred

Tools

Snowflake

Fivetran

HVR

Matillion

dbt

Coalesce

Postman

Claude

ChatGPT

Copilot

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 Lead Analyst, Data Platform Engineering serves as one the team's Snowflake administrators and data pipeline engineers, 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 Lead Analyst plays a crucial 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 one of the Snowflake administrators 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 maintains Semantic Views that support Cortex Analyst and other AI/BI consumption layers.

Partners with BI and analytics teams (Sigma, Tableau) to ensure the curated layer meets reporting and self-service needs.

Reviews data for accuracy and production-readiness prior to release to business users and agents.

Organizational Support & Enablement

Acts as a go-to resource across the Data & Analytics team for Snowflake capabilities, new feature adoption, and platform best practices.

Documents platform architecture, runbooks, and how-to guides for the team and business users.

Trains team members and business users on new tools, features, and capabilities relevant to their needs.

Strategic Prioritization & Ownership

Translates business asks into clear priorities the team can act on.

Balances short-term demands with long-term priorities.

Knows when to upscale and when to resolve issues independently.

Embraces change and helps the team navigate ambiguity with confidence.

Takes initiative and accountability, following through on commitments.

Fosters a culture of continuous learning and improvement.

Requirements:

• Bachelor's Degree in Computer Science, Information Systems, or a related technical field, with a Master's Degree preferred
• 5+ years of experience in database/platform administration, data engineering, or business intelligence, including at least 1 year with hands-on experience administering Snowflake or a similar cloud data platform in a production environment.
• 1+ years leading complex projects or initiatives
• Hands-on experience with a multi-account Snowflake architecture
• Strong SQL programming skills
• Experience with data ingestion and ETL/ELT tools, e.g. Fivetran/HVR, Matillion, dbt, Coalesce, Postman
• Familiarity with AI/LLM enablement and tools such as Claude, ChatGPT, Mic