Top 351 Data engineer manager Jobs in San Jose, Ca

Sr. Manager, Data & Analytics
Specialized —Morgan Hill, CA
- $119,628 - $208,153 a year
- Full-time
- SQL
- Mentoring
- Senior level
- Paid parental leave
- Health savings account
Data Center Electrical Design Engineer
EZSVS USA Inc. —Sunnyvale, CA
- $55,000 - $60,000 a year
- Full-time
- Engineering
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
Engineering Manager, Data Platform Orchestration
Netflix —Los Gatos, CA
- $436,000 - $791,000 a year
- On call
- Product management
- Senior level
- Leadership
- Paid holidays
- Health insurance
AI-Native Data Engineer - TrueMeter
Pear VC —Palo Alto, CA
- Full-time
- Hybrid work
- Mid-level
- SQL
- APIs
Engineering Manager, Content Data Foundations
Netflix —Los Gatos, CA
- $436,000 - $710,000 a year
- On call
- 3 years
- Product management
- Recruiting
- Paid holidays
- Health insurance
Senior AI Engineer
Twin Health —Menlo Park, CA
- $200,000 - $220,000 a year
- Remote
- Computer Science
- 5 years
- System design
- Paid parental leave
- Health savings account
Quick Apply
Senior Manager, Product - Perception Data
NVIDIA —Santa Clara, CA
- $272,000 - $431,250 a year
- Full-time
- Computer Science
- Bachelor of Science
- Research
Senior Data Quality Engineer
Stanford Health Care —Palo Alto, CA
- $66.52 - $88.14 an hour
- Full-time
- Azure
- Bachelor of Science
- DevOps
ENGINEER II- Mid Data Engineer
Ascentt Business Systems —Fremont, CA
- 3 years
- Java
- SQL
Product Manager I, Geo Roads and Safety Data
Google —Mountain View, CA
- $138,000 - $197,000 a year
- Full-time
- Mid-level
- SQL
- Bachelor's degree
Manager, Data and AI Engineering
NVIDIA —Santa Clara, CA
- $200,000 - $322,000 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
Data Engineer, Google Maps
Google —Mountain View, CA
- $106,000 - $150,000 a year
- Full-time
- Mid-level
- Master's degree
- Analysis skills
2d
Sr. Data Engineer
Allocate —Palo Alto, CA
- $145,000 - $220,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Director - Database Performance Engineering
ServiceNow —Santa Clara, CA
- $221,200 - $387,100 a year
- Online Application
- Hybrid work
- Computer science
- Computer Science
- Residential
- Employee stock purchase plan
- Health insurance
Quick Apply
12d
Manager, Data & Analytics - Apple Retail Online
Apple —Cupertino, CA
- $212,600 - $319,800 a year
- Computer Science
- 5 years
- System design
- Employee stock purchase plan
- Health insurance
Tech Lead Manager, Data Engineer
Waymo —Mountain View, CA
- $251,000 - $310,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Senior Product Manager, Physical AI Robotics Data
NVIDIA —Santa Clara, CA
- $168,000 - $327,750 a year
- Full-time
- Computer science
- Computer Science
- Research
Product Manager II, Ads Data Management
Google —Mountain View, CA
- $163,000 - $236,000 a year
- Full-time
- Office
- Master's degree
- Bachelor's degree
- Paid holidays
- Disability insurance
Senior Manager, Engineering - Data Center Firmware
NVIDIA —Santa Clara, CA
- $272,000 - $431,250 a year
- Full-time
- 6 years
- Bachelor of Science
- Doctor of Philosophy
Senior Manager, Data Engineering
Stanford Health Care —Palo Alto, CA
- $83.98 - $111.27 an hour
- Full-time
- Azure
- Computer Science
- HIPAA

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data engineer manager jobs near san jose, ca

Sr. Manager, Data & Analytics

Specialized -
Morgan Hill, CA

Apply Now

Job Details

Full-time
$119,628 - $208,153 a year

Benefits

Paid parental leave
Health savings account
AD&D insurance
Paid holidays
Disability insurance
Dental insurance
Employee assistance program
Vision insurance
401(k) matching
Gym membership
Volunteer time off

Qualifications

AI models
Commercial use (data warehousing systems)
Cloud analytics services
Managerial strategic planning
Data Integration (Data management)
Cloud data warehouses
Tooling
Managing IT teams
AI platforms (beyond public GPTs)
Managing data teams
Machine learning projects
SQL
Team development
Hiring
ETL process automation
Managing engineering teams
Mentoring
Engineering product development
AI-driven automation
Project stakeholder communication
Python
IT strategy
Stakeholder relationship building
Data analytics technologies
Senior leadership
Stakeholder management
Database software proficiency
Performance evaluation

Full Job Description

Sr. Manager, Data & Analytics

About the Role

We are seeking a Senior Manager of Data & Analytics Engineering to lead our data platform teams and power decision-making across the company. In this senior leadership position, you will own and evolve our end-to-end data platform-from ingestion and transformation to analytics layers that business teams rely on daily. You'll oversee Data Engineering (infrastructure, pipelines, reliability) and Analytics Engineering (data models, metrics, self-serve tooling), while championing an AI-first approach to the way we build, operate, and innovate.

Four Pillars of This Role

Platform Leadership: Own the architecture and roadmap for the modern data stack, from source systems through to consumption layers.
Team Building: Hire, grow, and inspire both data engineers and analytics engineers, fostering a culture of quality, curiosity, and ownership.
AI Integration: Embed AI tooling natively into the team's workflows for build, testing, documentation, and monitoring of our data platform.
Business Partnership: Translate commercial priorities into robust data infrastructure that is agile, trusted, and scalable.

What you will do:

Define and own the multi-year roadmap for the data platform, aligning investments in infrastructure, tooling, and headcount with business strategy.
Lead and grow the Data and Analytics team, cultivating a collaborative, feedback-rich environment with clear career pathways.
Architect and oversee scalable data pipelines across ingestion, transformation, orchestration, and delivery, for both batch and streaming use cases.
Champion best practices in analytics engineering, including semantic layer design, dbt modelling standards, data contracts, and metrics governance.
Partner with business stakeholders to deliver high-quality, self-serve data solutions aligned to business needs.
Ensure data platform reliability, observability, SLAs, and incident response, treating the platform as a product with real users.
Drive vendor and tool evaluations for the modern data stack (cloud warehouse, orchestration, cataloging, transformation, reverse ETL, etc.).
Set and enforce data quality, documentation, and governance standards to build trust across the business.

AI-assisted development: Champion use of AI coding assistants and LLM-powered tooling (e.g. Cursor, GitHub Copilot, Claude) to accelerate delivery and reduce toil.
Intelligent data pipelines: Implement AI-native patterns-LLM-generated documentation, anomaly detection, data quality monitoring, and automated root-cause analysis.
Natural language interfaces: Prototype NL-to-SQL and AI-powered BI tools to empower self-serve analytics for non-technical users.
AI platform enablement: Build foundational data infrastructure (feature stores, vector stores, model metadata, evaluation datasets) to enable AI and ML experimentation and scale.

What you'll need to know/have:

7+ years in data engineering or analytics engineering, with 3+ years in a senior leadership role managing multiple teams
Deep expertise in the modern data stack-cloud data warehouses (Snowflake, BigQuery, or Databricks), dbt, orchestration tools (Airflow, Dagster, or Prefect), and ELT frameworks

Strong command of SQL and Python
Hands-on experience integrating AI/LLM tooling into engineering workflows or data products

Proven ability to define and execute a multi-year data platform strategy
Strong stakeholder management, including executive presentations and translating technical concepts to non-technical audiences
Experience building and scaling high-performing engineering teams: hiring, mentoring, performance management
Track record of delivering trusted, well-documented, and widely adopted data products

It would be great if you also had:

Familiarity with semantic layer tools (e.g. MetricFlow, Cube), data cataloging (e.g. Atlan, Datahub), and data observability platforms
Experience with streaming data (Kafka, Flink, or Kinesis) and batch processing
Exposure to data mesh or data product organizational models

Additional Job Description

BENEFITS

As a full-time, regular teammate, you are eligible for the following benefits, beginning the first of the month following your start date.

Benefits include:

Competitive pay with annual performance-based reviews for continued growth and recognition
Comprehensive healthcare plan options, including PPO, EPO, HDHP, and HMO (acupuncture and physical therapy included)
Health Savings Account (HSA) with employer HSA contributions when enrolled in the High-Deductible Healthcare Plan (HDHP)
Dental and Vision plans
401(k) Company Matching up to $5,000 annually with immediate 100% vesting and administrative fees paid for by the company
Company-paid Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance
Employee Assistance Program that provides access to individualized mental well-being care
Generous Vacation, Sick, Paid Holidays, and Volunteer Time Off
14 weeks of 100% paid leave for birthing parents and 8 weeks of 100% paid leave for non-birthing parents, plus a Specialized bike for your new baby
Up to $9,000 annually in Career Development & Degree Assistance
Up to $250 annually in Fitness & Wellness Reimbursement
Industry Pro-Deal Discounts and Perks

For additional information on benefits and perks, please visit: https://benefits.specialized.com.

PAY

Below is a summary of compensation elements for this role at the company if based in the following locations:

California Base Pay Range: ($119,628 - $208,153 )

At Specialized, your base pay is one part of your total compensation package and will depend on your work experience, skills, certification, and location.

We want to increase representation of all races, genders, and body types in the cycling industry and are committed to building a diverse and inclusive workforce where all people thrive. We encourage everyone – especially those from marginalized groups – to apply to our job postings and help us earn the position as the rider’s brand of choice. We are always looking for creative, innovative, and passionate people who are eager to contribute to our mission of pedaling the planet forward. Regardless of your qualifications, if you are ready to make a difference, please apply and let us know how you can make an impact at Specialized!

See what we are up to on LinkedIn, Instagram.

Apply Now

Refine Your Search

data engineer manager jobs in san jose, ca

Sr. Manager, Data & Analytics

Data Center Electrical Design Engineer

Engineering Manager, Data Platform Orchestration

AI-Native Data Engineer - TrueMeter

Engineering Manager, Content Data Foundations

Senior AI Engineer

Senior Manager, Product - Perception Data

Senior Data Quality Engineer

ENGINEER II- Mid Data Engineer

Product Manager I, Geo Roads and Safety Data

Manager, Data and AI Engineering

Data Engineer, Google Maps

Sr. Data Engineer

Director - Database Performance Engineering

Manager, Data & Analytics - Apple Retail Online

Tech Lead Manager, Data Engineer

Senior Product Manager, Physical AI Robotics Data

Product Manager II, Ads Data Management

Senior Manager, Engineering - Data Center Firmware

Senior Manager, Data Engineering

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