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Senior Analytics Engineer Jobs in San Ramon, CA (NOW HIRING)

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture ...

Nutanix

Sr. Manager, Analytics Engineering

San Jose, CA · On-site

If so, joining our team as a Senior Manager, Analytics Engineering at Nutanix will allow you to make a meaningful impact by influencing data-driven decision-making across the organization and driving ...

Kikoff

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are looking for a Data Engineer or Analytics Engineer to join our Data team. You will collaborate with the data scientist and engineers to design, build, and scale high-leverage data models ...

Deloitte

GCP Cloud Analytics Engineer

San Jose, CA · On-site

$65.25 - $87.25/hr

As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business ...

Deloitte

GCP Cloud Analytics Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business ...

Earnest

Staff Marketing Analyst

San Francisco, CA

$164K - $205K/yr

... Senior Analytics Manager. As the Staff Marketing Analyst, you will: * Partner directly with ... our Analytics Engineering team. * Act as a strategic thought partner and visible leader ...

Walmart

Senior Manager, Advanced Analytics

Union City, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Partner with Product, Engineering, Marketing, and Business teams to operationalize test designs ...

Walmart

Senior Manager, Advanced Analytics

Oakland, CA · On-site

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Partner with Product, Engineering, Marketing, and Business teams to operationalize test designs ...

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Showing results 21-40

All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in San Ramon, CA

Senior Analytics Engineer information

See San Ramon, CA salary details

$66.5K

$141.4K

$205.1K

How much do senior analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior analytics engineer in San Ramon, CA is $141,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $160,400.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What job categories do people searching Senior Analytics Engineer jobs in San Ramon, CA look for? The top searched job categories for Senior Analytics Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Senior Analytics Engineer jobs? Cities near San Ramon, CA with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $141,430 per year, or $68 per hour.

Lead Analytics Engineer

Obsidian Security

Palo Alto, CA • On-site

$120K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.
Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens-Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.
With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.
With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.
About the Role
We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture, and the semantic layer that every executive dashboard, GTM workflow, and internal AI agent will rely on. You will also help lead our use of AI in how we build, using modern AI coding tools to ship dbt models, automated workflows, and reporting pipelines at a pace a small team alone could not.
We are looking for a Senior Technical owner to set the bar for mart design, documentation, AI-augmented development, and for how data flows from our systems of record into the reports and workflows that run the business.
You will report directly to the VP of Business Systems, Data & IT. You will partner closely with Product, Sales, CS, Finance, Marketing, and Security, and you will collaborate with teammates across the Business Systems, Data & IT function.
What You'll Do
Own the analytics foundation
  • Build and own the dbt project end-to-end - mart architecture, modeling conventions, materialization patterns, testing, lineage, documentation.
  • Design dimensional models that serve both human dashboards and downstream AI agents with equal rigor.
  • Stand up CI/CD discipline on the dbt project, including PR review, automated testing, and deployment workflows.

Build the pipelines and the warehouse
  • Own Fivetran ingestion across our GTM, finance, HR, and operational sources.
  • Design and operate reverse-ETL pipelines that move trusted data from the warehouse back into systems of record.
  • Migrate existing reports from our legacy database onto the new BigQuery foundation without breaking continuity.

Use AI to ship more, faster
  • Build with AI coding tools (Claude, Cursor, Codex, and similar) as part of your daily workflow, and set the team standard for AI-augmented analytics engineering.
  • Design schemas, documentation, and semantic conventions specifically with downstream AI agents in mind - context-rich, well-named, unambiguously documented.
  • Build automated workflows on top of the warehouse: cost aggregation across vendor APIs, automated executive reporting deliveries, automatic field updates from call intelligence into CRM, and similar.

Raise the bar across the team
  • Set technical standards for the data function, mentor and uplevel teammates, and establish conventions that scale beyond your own hands.
What You'll Bring
Requirements
  • 8+ years building analytics or data engineering systems in production, with deep, hands-on dbt experience. You have owned a DBT project, not just contributed to one.
  • Strong business fluency in B2B SaaS, and an instinct to start from the process, not the metric. You understand the upstream GTM, billing, and customer-lifecycle workflows that generate ARR, NRR, churn, CAC, gross margin, pipeline conversion, and deal velocity.
  • You can take a finance or RevOps question, walk the process it lives in, and translate it into the right data model. You know that the upstream process matters at least as much as the model that reports on it.
  • Expert SQL and dimensional modeling. You can defend a modeling decision in a paragraph, and you have opinions about incremental materialization.
  • Production experience with a cloud data warehouse (BigQuery preferred; Snowflake, Redshift, or Databricks transferable) and a managed ELT platform (Fivetran preferred).
  • Demonstrated daily use of AI coding tools to ship real work - not as a curiosity, but as a tool you have used to deliver production output.
  • Strong written and verbal communication. You can explain a data model decision to an engineer and a stakeholder with equal clarity.

Preferred
  • Python for ingestion, automation, and integration work.
  • Workflow automation experience on Workato, Airflow, or a similar platform.
  • Reverse-ETL experience on Census, Hightouch, or equivalent.
  • Hands-on familiarity with the GTM data stack (Salesforce, Marketo, Gong, or similar).
  • Experience in standing up an analytics warehouse from a greenfield state.
  • Experience working on a Business Systems, Revenue Operations, or similar internal ops team, with direct exposure to the processes that generate the data.
  • Experience operationalizing customer-data separation in a warehouse (mart access policies, anonymization pathways, privacy-aligned PII handling).
  • B2B SaaS or cybersecurity domain background.

Employee Benefits
Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:
  • Competitive compensation with equity and 401k
  • Comprehensive healthcare with dental and vision coverage
  • Flexible paid time off and paid holiday time off
  • 12 weeks of new parent or family leave
  • Personal and professional development resources

For more details on our US benefits, or for information on our international benefits, please see here.
Pay Transparancy
Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.
At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com
Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy.
Base Salary Range
$219,000-$240,000 USD

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