Sr Analyst, Data Platform Engineering

ur

Scottsdale (AZ)

On-site

USD 120,000 - 160,000

Full time

4 days ago
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Job summary

United Rentals is seeking a Senior Analyst, Data Platform Engineering to own Snowflake administration, data pipelines, and AI enablement across the analytics stack. You will design, build, and monitor reliable data flows, manage security and performance, and collaborate with BI teams.

This role drives adoption of AI copilots, develops semantic views, and partners with cross-functional teams to productionize data assets and ensure governance across multi-account Snowflake environments.

Qualifications

  • Bachelor's degree in a related technical field; master's preferred.
  • 5+ years in data engineering or BI with Snowflake in production.
  • Hands-on experience with multi-account Snowflake architecture.
  • Strong SQL and data ingestion/ETL/ELT tooling experience.
  • Familiarity with AI/LLM enablement and BI visualization tools.

Responsibilities

  • Snowflake platform administration and security management.
  • Designs and maintains data pipelines and ingestion jobs.
  • Monitors performance, reliability, and cost; troubleshoots issues.
  • Onboards new data sources and defines ingestion standards.
  • Develops semantic views and supports AI copilot enablement.

Skills

SQL programming
Data governance
Analytical thinking
Cloud data platforms
Agile practices

Education

Bachelor's Degree in CS/Info Systems
Master's Degree preferred

Tools

Snowflake
Fivetran
Matillion
dbt
Postman
Tableau / Sigma

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 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.
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 data engineering, database/platform administration, or business intelligence, including at least 1 year with hands-on experience administering Snowflake or a similar cloud data platform in a production environment
  • 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, Microsoft Copilot, Github Copilot, Snowflake Cortex Code
  • Experience with BI and visualization tools like Tableau or Sigma is a plus
  • Understanding of agentic architectures, including MCP servers and agent-to-agent communication, is a plus
  • Snowflake certification (SnowPro Core or Advanced) a strong plus
  • Familiarity with agile development practices
  • Strong analytical and critical thinking skills with a focus on practical problem-solving within constrain
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