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Databricks Admin Jobs in California (NOW HIRING)

Lead federation strategy across AWS, Databricks, and the SaaS estate. Standardize entitlements via ... than admin consoles. Proficient in Python. * Track record of systematically replacing manual ...

Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery for the ... Reconcile equity payroll data to stock admin records each quarter with zero tolerance for mismatch ...

Databricks is looking for a Senior Manager, Payroll to own end-to-end payroll delivery for the ... Reconcile equity payroll data to stock admin records each quarter with zero tolerance for mismatch ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Administer and maintain Azure-based data tools and platforms (Databricks, ADF) * Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting within Azure ...

Exp : 15+ yrs About This Jo b We are seeking a SQL DBA with hands-on Databricks experience to support and optimize enterprise data platforms. This role combines strong database administration ...

Director, Information Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

... Databricks environments • Collaborate with database administrators and data engineers on OPTIMIZE, VACUUM, and ANALYZE strategies for Delta tables • Work closely with Data Engineers to ensure ...

Director, Information Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

... Databricks environments. • Collaborate with database administrators and data engineers on OPTIMIZE, VACUUM, and ANALYZE strategies for Delta tables. • Work closely with Data Engineers to ensure ...

Director, Information Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

... Databricks environments. • Collaborate with database administrators and data engineers on OPTIMIZE, VACUUM, and ANALYZE strategies for Delta tables. • Work closely with Data Engineers to ensure ...

AI Platform Engineer, Infrastructure

San Francisco, CA · On-site

$126K - $166K/yr

... less admin work Company momentum: * Raised a $55M Series A from leading investors * Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on ...

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Databricks Admin information

What are Databricks Admins?

Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.

What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?

As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.

What are the key skills and qualifications needed to thrive as a Databricks Admin, and why are they important?

To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.

What is the difference between Databricks Admin vs Data Engineer?

AspectDatabricks AdminData Engineer
CredentialsDatabricks certifications, cloud platform knowledgeProgramming skills, cloud certifications, data modeling
Work EnvironmentCloud-based Databricks platform, administrative tasksData pipelines, ETL processes, coding environments
Employer & IndustryTech companies, data-driven organizations using DatabricksOrganizations building data infrastructure, analytics teams
Search & Comparison IntentUnderstanding administrative roles in DatabricksData pipeline development and data architecture

While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.

What are popular job titles related to Databricks Admin jobs in California? For Databricks Admin jobs in California, the most frequently searched job titles are:
What job categories do people searching Databricks Admin jobs in California look for? The top searched job categories for Databricks Admin jobs in California are:
What cities in California are hiring for Databricks Admin jobs? Cities in California with the most Databricks Admin job openings:
Staff Systems Administrator

Staff Systems Administrator

EarnIn

Mountain View, CA • Hybrid

$221K - $271K/yr

Other

Re-posted 18 days ago


Job description

POSITION SUMMARY

Join EarnIn's IT team to own enterprise identity architecture end-to-end and lead AI-enabled automation that replaces manual workflows with scalable, auditable systems. The base salary range for this full-time position is $221,900 - $271,200, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

WHAT YOU'LL DO 

  • Design and evolve EarnIn's enterprise identity model with Workday as the authoritative HRIS source and Okta as the central control plane. Drive zero-touch joiner/mover/leaver provisioning and own the program's First-Pass Automation Yield (FPAY) metric.
  • Architect privileged access management at scale: just-in-time elevation, time-bound exceptions, managed-device enforcement, and policy-driven entitlement reviews. Build and maintain the IAM Roles Catalog with expiring exceptions and clear ownership for every entitlement.
  • Lead federation strategy across AWS, Databricks, and the SaaS estate. Standardize entitlements via Identity-as-Code (Terraform) so every change is reviewable, diffable, and reversible.
  • Design a Continuous Access Evaluation pipeline -- manual-grant detection, quarterly evidence packaging, tamper-resistant sealing -- so audit readiness is a standing capability rather than a quarterly scramble.
  • Lead the design and rollout of agentic AI workflows that replace ticket-driven, human-in-the-loop IT processes: access intake, approvals routing, ownership reconciliation, helpdesk triage, and drift remediation.
  • Build reusable AI patterns, guardrails, and components (eval harnesses, tool-use scaffolds, prompt and policy libraries) that other EarnIn teams can adopt to AI-enable their own workflows. Partner with team leads across the company to turn working automations into a repeatable practice.
  • Set architectural direction for the IT team: tool selection, identity protocols (SAML, OAuth2, OIDC, SCIM), automation patterns, observability, and build-vs-buy decisions. Mentor IT engineers through code review, ADRs, runbooks, and design docs.

WHAT WE'RE LOOKING FOR

  • Bachelor's degree (or higher) in Computer Science, Information Systems, or a related technical field
  • 7+ years in IT Engineering or Identity & Access roles, including experience setting technical direction for a program and being accountable for the outcome.
  • Demonstrated experience architecting and implementing an enterprise IAM program end-to-end -- design, rollout, and operational steady-state -- at meaningful scale, not solely operating a vendor product.
  • Significant hands-on expertise in Okta (Workflows, Identity Governance, sign-on policies, group rules) and at least one HRIS-driven lifecycle integration (Workday preferred). Fluency in SAML, OAuth2, OIDC, SCIM, federation, JIT provisioning, and PAM patterns.
  • Experience codifying identity infrastructure (Terraform, GitOps, or equivalent) and shipping changes through code review rather than admin consoles. Proficient in Python.
  • Track record of systematically replacing manual processes with automation as the explicit operating model of the team -- not as a side project.
  • Demonstrated experience designing, shipping, or championing AI-enabled workflows in a production environment (LLM-backed agents, retrieval-augmented assistants, or agentic automation replacing human-in-the-loop steps). Uses AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) to accelerate own work.
  • Clear written and verbal communication: able to lead an architecture review, write a decision doc, and explain why a control matters to both a developer and a CFO.
  • Experience in a fintech or regulated environment (SOC 2, PCI) with audit-grade evidence pipelines is a plus
  • Hands-on work with Databricks federation or AWS IAM Identity Center is a plus
  • Certifications such as Okta Certified Consultant/Administrator or CISSP are a plus

#LI-Hybrid