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Manager Databricks Data Engineer Jobs in Santa Clara, CA

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Design, build, and maintain scalable data pipelines in Databricks to ingest, transform, validate ... Experience with workflow orchestration, dependency management, scheduling, monitoring, and ...

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The ideal candidate will have strong expertise in Azure, Databricks, Spark, SQL, Python, and cloud ... hands-on data engineering experience using distributed computing technologies such as Spark ...

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and ... Proficiency in platform administration, including database design, schema management, user roles ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity ... Implement data quality strategies (master data management, validation rules, Delta Live Tables ...

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity ... Implement data quality strategies (master data management, validation rules, Delta Live Tables ...

Snowflake Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks , including building ... Proficiency in platform administration , including database design, schema management, user roles ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Job Role: Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote ... Leverage advanced tools like Databricks for big data processing, ensuring the data is accessible ...

They are seeking a highly skilled Senior Data Engineer / Data Architect with extensive experience ... RBAC, Managed Identity, Private Endpoints • End‑to‑end development on Azure Databricks • ...

RBAC, Managed Identity, Private Endpoints Databricks Engineering * End-to-end development on Azure ... CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced ...

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job ... Design and maintain scalable ETL/ELT pipelines using Databricks and PySpark . * Build and manage ...

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Manager Databricks Data Engineer information

See Santa Clara, CA salary details

$52.3K

$152.3K

$208.5K

How much do manager databricks data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager databricks data engineer in Santa Clara, CA is $152,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

What are the most commonly searched types of Databricks Data Engineer jobs in Santa Clara, CA? The most popular types of Databricks Data Engineer jobs in Santa Clara, CA are:
What are popular job titles related to Manager Databricks Data Engineer jobs in Santa Clara, CA? For Manager Databricks Data Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Manager Databricks Data Engineer jobs in Santa Clara, CA look for? The top searched job categories for Manager Databricks Data Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Manager Databricks Data Engineer jobs? Cities near Santa Clara, CA with the most Manager Databricks Data Engineer job openings:
Infographic showing various Manager Databricks Data Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $152,344 per year, or $73.2 per hour.

Engineering Manager - Databricks SQL Control Plane

Databricks

Mountain View, CA

Full-time

Re-posted 23 days ago


Job description

RDQ326R233

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Databricks SQL (DBSQL) is a serverless data warehouse on the Databricks Lakehouse Platform that lets you run all your SQL and BI applications at scale. The Databricks SQL Control Plane team builds scalable solutions for managing the multi-tenanted DB SQL service. This team creates and maintains services that allow customers to create a data warehouse, scale it within seconds, and run mission critical workloads at scale. The team is seeking an Engineering Manager to spearhead the development of a new service and architecture for the next generation of our product.

The key responsibilities include:

  • Leading a team of talented software engineers to build the next-generation low-latency, multi-tenanted, cloud native data warehousing system 
  • Growing the team by hiring strong engineering talent
  • Leading and participating in technical, product and design discussions relating to cloud native database systems
  • Managing and operating a highly available service in the cloud
  • Growing leaders on the team by providing coaching, mentorship and growth opportunities
  • Playing a key role in defining the product and engineering roadmap for the team 
  • Partnering with other engineering and product leaders on planning, prioritization and staffing.
  • Creating a culture of excellence on the team while leading with empathy

What we look for:

  • 5+ years experience working in, database systems, data processing or related domains
  • Experience building highly available cloud services on AWS, GCP or Azure
  • Building, growing and managing high performance teams
  • Experience defining and meeting SLOs for highly available systems
  • Ability to attract and hire engineers who meet the Databricks hiring standards. 
  • Comfort working cross functionality with product management and partners to build products that drive user growth

Preferred

  • Experience working Rust