Senior Data Engineering Analyst

Rubrik Job Board • Palo Alto, CA

1d • Onsite

About The Position

Join our Data Engineering and Analytics team at our Palo Alto headquarters to design and deliver the data infrastructure that powers our G&A business functions. In this high impact role, you will own the end-to-end lifecycle of data initiatives from translating complex business requirements into scalable data models, to delivering proactive insights that inform critical decisions. You will serve as a key partner to stakeholders across GTM programs, Product operations, Pricing & Treasury, enabling accurate reporting, operational visibility and strategic planning. Your work will directly support directors and Senior Leaders within Sales and G&A, influencing revenue growth, strategy and operational efficiency through trusted, data driven decision making.

Requirements

• Experience: 10–12 years of hands-on experience in data engineering, analytics engineering, or business intelligence within a fast paced SaaS/Technology company.
• Core Tech Stack: Expert level mastery of Snowflake (architecture and optimization) and dbt (modular modeling and CI/CD) is mandatory.
• Data Visualization: Advanced proficiency in Tableau, with a proven ability to create compelling, high performance dashboards for executive audiences.
• Domain Expertise: Deep expertise in Salesforce data architecture and schemas (Opportunity, Account, Quote, Contracts etc) and a comprehensive understanding of how CRM workflows translate into revenue lifecycle metrics and SaaS business logic.
• Operational Rigor: Strong experience defining KPIs for complex data initiatives and working effectively within an agile environment.
• Business Acumen: Ability to engage and partner closely with various leaders including senior leaders to understand and support their strategic objectives.
• Stakeholder Management: Exceptional skill in managing expectations, negotiating priorities, and communicating technical trade offs to non-technical leaders.
• Problem Solving & Analytical Mindset: Strong problem solving ability with a "first-principles" approach, prioritizing data quality, scalability, and long term maintainability over temporary fixes.

Responsibilities

• Business Partnership & Delivery: Serve as data partner across GTM and G&A business functions. Drive high impact projects from initial analysis through to final delivery and closure.
• Requirements Discovery: Lead deep dive engagement sessions with stakeholders to translate business questions into actionable technical roadmaps, ensuring data solutions solve core strategic problems.
• Architectural Excellence: Design and optimize scalable data pipelines and sophisticated dbt models in Snowflake. Establish a robust Semantic layer to ensure standardized metric definitions and alignment across distributed G&A data sources.
• Advanced Analytics & Visualization: Deliver executive level Tableau narratives. Transform raw data into proactive analytical tools that provide predictive insights and automated alerting for senior leadership.
• AI & Data Culture: Modernize our data culture by implementing Generative AI powered analytics. Develop "ChatGPT for data" solutions that allow business users to explore information and uncover insights using natural language.
• ​​Cross Functional & Systems Collaboration: Work closely within the IT ecosystem, partnering with internal application and systems teams to ensure data alignment, seamless system integrations, and high data integrity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed