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Databricks Architect Jobs in California (NOW HIRING)

Databricks

Solutions Architect

San Francisco, CA · On-site

$180K - $247K/yr

You align technical strategies around Databricks solutions. * You provide structured mentorship for other team members. * Gain the respect of your peers based on your experience, insight, and ...

New

WinsAbove

Solutions Architect

San Francisco, CA · On-site

$180 - $260/hr

At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Job Title: AI/ML Architect with Databricks, Azure Location: Los Angeles CA or New York NY (Hybrid) Hire type: Contract Need 15+ years of experience resumes. Role Overview We are seeking an ...

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
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Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in California as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, 2% Temporary, and 7% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Sr. Engagement Manager, Forward Deployed Engineering Digital Native Business

Databricks

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Job description

CSQ327R64

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization for our Digital Native Business (DNB) customers as well as to account teams and customers for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts.

The impact you will have:

  • Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders.
  • Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations.
  • Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets.
  • Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals.
  • Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction.

What we look for:

  • 7-10 years running a Professional Services line of business.
  • 10+ years in senior customer-facing roles with a mix of influencing and execution.
  • Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google).
  • Strong knowledge of Databricks architecture, competitors, and migration benefits.
  • Proven track record of managing large-scale program plans and service delivery.
  • Ability to travel up to 25-50% as required.

Apply