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Ods Security Jobs in California (NOW HIRING)

Data Architect

San Diego, CA ยท On-site

$68 - $87.25/hr

Architect and govern the Data Lake, Data Warehouse, ODS, and cloud data platforms, ensuring ... Work closely with engineering, product, security, and business teams to align data architecture ...

... Security Management System (ISMS), and CMMI-DEV Level 3" * Migrate existing client warehouse(ODS & DM) from SQL server to AWS Aurora. This involves modifying the ETLs on Informatica Cloud and ...

User acceptance testing, performance testing, security testing (including documenting the results ... Experience with B4 data modeling, Business Warehouse Remote Cubes, Multi-Cubes, ODS Objects, Info ...

Required: Oncology Data Specialist (ODS) certification from the National Cancer Registrars ... security of patient data, Ability to professionally interface with other departments, medical ...

Tool Crib Specialist/Machinist

Long Beach, CA ยท On-site

$19.50 - $23.75/hr

Ability to maintain close tolerances (within 0.003") for IDs, ODs, roundness, concentricity, and ... Ability to obtain and maintain a company-sponsored security clearance is required Benefits Package:

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Showing results 1-20

Ods Security information

See California salary details

$39K

$105.9K

$139.2K

How much do ods security jobs pay per year?

As of Sep 1, 2026, the average yearly pay for ods security in California is $105,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $128,300.00 per year, depending on experience, location, and employer.

What is an ODS Security?

An ODS Security job involves protecting data, systems, and networks within an Operational Data Store (ODS). Professionals in this role ensure data integrity, monitor for security threats, implement access controls, and enforce compliance with security policies. They work closely with IT teams to identify vulnerabilities and mitigate potential risks. This job requires knowledge of cybersecurity protocols, data protection strategies, and security monitoring tools.

What are typical daily responsibilities for someone working in ODS Security?

Professionals in ODS Security are responsible for monitoring premises via CCTV, conducting regular patrols, and responding promptly to security breaches or emergencies. Daily tasks often include checking badges, enforcing access control policies, writing incident reports, and collaborating with other security team members and facility staff. You may also participate in safety drills or briefings and support investigations when incidents occur. The nature of the work can involve long hours and rotating shifts, but it offers the opportunity to make a real impact by keeping people and property safe.

What are the key skills and qualifications needed to thrive in the ODS Security position, and why are they important?

To thrive as an ODS Security professional, you need a strong understanding of security protocols, surveillance systems, and risk assessment, often supported by relevant training or experience in security services. Familiarity with security management software, CCTV systems, and incident reporting tools is commonly required, alongside certifications such as a security guard license. Attention to detail, calmness under pressure, and effective communication skills are vital soft skills in this role. These skills ensure the protection of assets and people, enable quick and accurate response to incidents, and promote a safe, cohesive work environment.

What cities in California are hiring for Ods Security jobs?

Cities in California with the most Ods Security job openings:

Infographic showing various Ods Security job openings in California as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $105,928 per year, or $50.9 per hour.

Data Architect

San Diego, CA โ€ข On-site

$68 - $87.25/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

JOB Objective

 

The Data Architect is a hands‑on technical leader responsible for shaping and modernizing the organization’s enterprise data architecture across on‑premises and cloud platforms. The role defines scalable data models, cloud‑native integration patterns, and architectural standards that enable analytics, reporting, digital banking, and other mission‑critical applications. Working closely with engineering, analytics, and business teams, this leader ensures secure, resilient, and high‑performing data environments while providing architectural direction for the Data Lake, Data Warehouse, Operational Data Store, and emerging cloud platforms. The position combines strategic architectural vision with deep, practical experience in designing, implementing, and optimizing modern data systems across structured, semi‑structured, and unstructured workloads.


Supervisory responsibilities

 

• Reports directly to the Director, Cloud & Data for strategic direction, coaching, and performance evaluation.

• Provides architectural leadership and technical guidance to Data Engineers, Data Analysts, and cross‑functional development teams.


NATURE & SCOPE

 

This role shapes enterprise data strategy, mentors teams on modern architecture and governance, and ensures alignment on scalable design principles across cloud and on‑prem data platforms.

 

Enterprise Data Architecture & Modeling

  • Define and maintain enterprise data models, canonical schemas, and integration patterns supporting analytics, reporting, and digital banking. 
  • Architect and govern the Data Lake, Data Warehouse, ODS, and cloud data platforms, ensuring consistency, scalability, and alignment with business needs. 
  • Establish standards for structured, semi‑structured, and unstructured data across SQL, NoSQL, and cloud‑native systems. 
  • Lead the design of golden‑record strategies, SSOT frameworks, and member‑data standardization initiatives.

Data Governance, Quality & Metadata Management

  • Develop and enforce policies for data quality, lineage, cataloging, and metadata management. 
  • Partner with business and engineering teams to implement governance frameworks that ensure accuracy, consistency, and regulatory compliance. 
  • Oversee data validation, profiling, and quality automation across ingestion and transformation pipelines.

Integration Architecture & Pipeline Design

  • Architect enterprise‑grade data ingestion, transformation, and integration pipelines using modern tools such as ADF, Airflow, Informatica, SSIS, and cloud‑native services. 
  • Define standards for API‑driven data exchange, event‑based integrations, and real‑time data flows supporting ODS and transactional reporting. 
  • Guide engineering teams on best practices for ETL/ELT design, orchestration, and automation.

Database & Platform Architecture

  • Provide architectural oversight for SQL Server, Azure SQL, Snowflake, MySQL, MongoDB Atlas, Cosmos DB, and other enterprise data platforms. 
  • Define strategies for high availability, disaster recovery, performance tuning, and secure connectivity. 
  • Lead modernization efforts including cloud migration, platform consolidation, and adoption of emerging data technologies.

Analytics & BI Enablement

  • Architect semantic models, curated datasets, and analytics‑ready structures for BI platforms such as Power BI and Tableau. 
  • Partner with analytics teams to ensure data structures support advanced reporting, machine learning, and enterprise dashboards. 
  • Govern KPI definitions, metric consistency, and analytical data standards.

Collaboration & Cross‑Functional Leadership

  • Work closely with engineering, product, security, and business teams to align data architecture with organizational strategy. 
  • Provide architectural guidance for enterprise projects, digital platform initiatives, and system conversions. 
  • Communicate complex data concepts to technical and non‑technical stakeholders through documentation, diagrams, and presentations.

 

EDUCATION, SKILLS & ABILITIES

 

Minimum Requirements

  • Bachelor’s degree in computer science, Information Systems, or related field.
  • 12+ years of progressive experience in data architecture, data engineering, database design, and enterprise data platforms.
  • Proven leadership experience guiding engineering teams and influencing enterprise data strategy.

Technical Expertise

  • Mastery of enterprise data modeling (conceptual, logical, physical) and metadata management.
  • Deep experience with cloud databases as a service such as Snowflake, Azure Synapse, Azure SQL, SQL Server, MongoDB Atlas, Cosmos DB, and cloud‑native data services.
  • Advanced SQL, Python, and scripting capabilities for architectural prototyping and troubleshooting.
  • Expertise in ETL/ELT frameworks such as SSIS, Informatica IDMC, Airflow, Dbt Cloud, ADF.
  • Strong understanding of ODS architecture, real‑time data flows, and transactional reporting needs supported by responsibilities such as Configures and maintaining the organization’s Operation Data Store (ODS).
  • Experience with data quality frameworks, governance tools, and lineage/cataloging platforms.
  • Hands-on experience with BI tools such as Power BI, Tableau and semantic modeling.
  • Knowledge of cloud security, encryption, RBAC, and compliance standards for financial institutions.

Leadership & Soft Skills

  • Strong communication and stakeholder‑management skills.
  • Ability to translate business requirements into scalable architectural designs.
  • Demonstrated mentorship, collaboration, and cross‑team leadership.
  • Commitment to operational excellence, documentation, and continuous improvement.


MAJOR ACCOUNTABILITIES

 

  • Define and maintain the enterprise data architecture roadmap. 
  • Ensure data platforms meet performance, security, and compliance standards. 
  • Lead architectural design for enterprise data initiatives such as golden records, and 360‑member view. 
  • Provide architectural oversight for Data Warehouse, Data Lake, ODS, and analytics/BI platforms. 
  • Partner with engineering teams to ensure high‑quality implementation of architectural designs. 
  • Support enterprise projects with architectural guidance and technical leadership. 
  • Ensure member service and satisfaction remain central to all data‑related initiatives. 
  • Perform other duties as assigned.

 

ENVIRONMENTAL CONDITIONS


  • Work is primarily performed within a cubicle office setting. Subject to conversational noise found in an office environment.



 

Note: Staff are expected to perform various tasks, projects and administrative duties as assigned.

Management reserves the right to assign or change duties and tasks to this position at their discretion. 


Salary Range (annually)

$130,813.6560 - $163,517.0700