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Associate Azure Databricks Jobs in California (NOW HIRING)

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Strong experience with Azure-native and modern cloud data ecosystems including Azure Databricks ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Strong experience with Azure-native and modern cloud data ecosystems including Azure Databricks ...

Salesforce

AI (GenAI) Engineer

Palo Alto, CA · On-site

Azure Databricks/Spark (Delta Lake, lakehouse patterns) * Azure Data Lake Storage / Blob Storage ... Relevant Azure certification (or in progress), especially Azure AI Engineer Associate. What you'll ...

East West Bank

Data Governance

Pasadena, CA · On-site

$115K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Lake, Azure Databricks, Microsoft Fabric, and Power BI ecosystems. * Perform other duties as ...

East West Bank

Data Governance

Pasadena, CA

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Exposure to Azure-based data platforms including Azure Data Factory, Azure Databricks, Azure ...

East West Bank

Data Governance

Pasadena, CA · On-site

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Lake, Azure Databricks, Microsoft Fabric, and Power BI ecosystems. * Perform other duties as ...

eTeam

Cloud Data Platform Engineer

Cupertino, CA

$68.75 - $92/hr

Provision and manage Azure Analytics services (Databricks, etc.) through code using tools such as ... Azure Data Engineer Associate (DP-203) or Microsoft Certified: Azure DevOps Engineer Expert (AZ-400 ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

... Databricks Lakehouse Platform on Azure. Key Responsibilities: • Design and implement ETL/ELT ... Associate/Professional, Machine Learning, etc.) Feel free to reach out yashmita@kanakits.com

Diverse Lynx

AWS -- Data Security Engineer

Irvine, CA · On-site

... Integrate Databricks and AWS services with enterprise IAM solutions (e.g., Azure AD, Okta). • ... Power BI Data Analyst Associate (optional but a plus) Company : Diverse Lynx is a WBENC- and NMSDC ...

Pwc

Data Engineer - Senior Associate

Sacramento, CA

$77K - $202K/yr

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data ...

Pwc

Data Engineer - Senior Associate

Los Angeles, CA

$77K - $202K/yr

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data ...

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All JobsAssociate Azure Databricks JobsAssociate Azure Databricks Jobs in California

Associate Azure Databricks information

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

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Associate Azure Databricks jobs near you
Senior Architect, Artificial Intelligence Security - AI Implementation - Remote

Senior Architect, Artificial Intelligence Security - AI Implementation - Remote

Molina Healthcare

Long Beach, CA • On-site, Remote

$87K - $189K/yr

Full-time

Posted 4 days ago

Molina Healthcare rating

8.0

Company rating: 8.0 out of 10

Based on 192 frontline employees who took The Breakroom Quiz

146th of 261 rated insurance

Job description

Job Description
Job Description
Job Summary
Provides senior level support for designing, implementing, and maintaining the security framework for Molina's artificial intelligence and machine learning systems. Serves as the subject matter expert for securing AI/ML workloads operating within Molina's Microsoft Azure and Databricks environments.
Job Duties
  • Designs Secure AI/ML Architectures: Develops and promotes secure, resilient, and scalable architecture patterns for AI/ML solutions built on Microsoft Azure, Databricks, and other platforms.
  • AI/ML Threat Modeling: Conducts comprehensive threat modeling and risk assessments specifically for AI/ML systems, identifying vulnerabilities related to model inversion, data poisoning, adversarial attacks, and prompt injection.
  • Agentic AI Security: Leads the threat modeling, risk assessment, and security control design for autonomous AI agents, focusing on mitigating risks such as prompt injection, tool abuse, and uncontrolled agentic behavior.
  • AI Tools: Establishes and enforces a comprehensive security and governance framework for our AI tools, such as Model Context Protocol (MCP) servers, ensuring the integrity, confidentiality, and availability of contextual data.
  • MLSecOps Integration: Collaborates with our MLOps and Data Science teams to embed automated security controls ("shift-left") into the entire machine learning development lifecycle, from data ingestion to model deployment.
  • Architectural Guidance: Maintains AI Reference Architectures and Guidance and updates the specification and publication of AI Standards and Patterns around AI technology, development, security, privacy, and observability.
  • Strategic Advisory & Business Alignment: Consults on AI capabilities across business and technology platforms, ensuring alignment between AI architecture frameworks and the organization's strategic goals. Offers actionable recommendations on solution design, risk mitigation, and cross-domain impacts.
  • Partner & Collaborate: Partners with solution architects, technology leaders, business, governance, cyber security, compliance, and privacy teams to identify AI risks, documents design decisions, and provides enterprise patterns to resolve issues.
  • Threat Research: Stays current with the latest threats and vulnerabilities targeting AI systems and develops proactive strategies to defend against them. Designs capabilities for AI Governance and Observability.

Job Qualifications
REQUIRED QUALIFICATIONS:
  • At least 5 years of experience in a senior cybersecurity role (e.g., Security Architect, Cloud Security Engineer), or equivalent combination of relevant education and experience.
  • Proven, hands-on experience securing AI/ML workloads and data pipelines within Microsoft Azure and Databricks platforms.
  • Deep understanding of the AI/ML lifecycle and MLOps practices.
  • Strong understanding of network, application, and data security controls in a cloud-native environment.
  • Demonstrated knowledge of the unique security challenges and threat landscape of AI/ML systems.
  • Proficient in Python and familiarity with data science and AI libraries.
  • Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Displays intellectual curiosity, integrity, and is motivated by achieving long-term business outcomes.
  • Ability to work effectively in a team environment and lead cross-functional teams.

PREFERRED QUALIFICATIONS:
  • In-depth understanding of Agentic AI security, including common attack vectors and mitigation techniques.
  • Experience with Model Context Protocol (MCP) and securing the infrastructure that supports it.
  • Familiarity with MLSecOps principles and tools for security testing and automation in for Continuous Integration and Continuous Delivery/Continuous Deployment (CI/CD) pipelines.
  • Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or Azure Security Engineer Associate/Expert.
  • Exposure to governance and compliance regimes; a good understanding of security and privacy management, and regulatory requirements including Health Insurance Portability and Accountability Act Health Information Technology for Economic and Clinical Health Act (HIPAA HITECH).
  • Experience supporting agile teams by providing guidance on design, opportunities, impact, and risks, taking account of technical and architectural debt.
  • Experience designing Generative AI (GenAI) solutions, with experience in Machine Learning Operations (MLOps), Large Language Models (LLM), OpenAI, CoPilot Studio, Agentic AI frameworks such as Langchain, LangGraph and Agent Development Kit (Google ADK), Data Foundry, and Data Fabric.
  • Ability to balance the long-term (big picture) and short-term implications of individual decisions.

To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

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About Molina Healthcare

Sourced by ZipRecruiter

Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Long Beach, CA, US

Year founded

1980

Social media

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