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Director Data Platform Jobs in California (NOW HIRING)

Evaluates, recommends, and implements emerging technologies, including cloud platforms, data ... Direct: 2 Managers * Indirect: 5 or more KNOWLEDGE, SKILLS, ABILITIES: * Strong project management ...

Sr. Data Platform Architect

San Jose, CA · On-site

$78.75 - $105.50/hr

The role leads core platform architecture across ingestion, storage, compute, orchestration ... You will report to the Sr. Director of Data Analytics, who prioritizes mentorship and professional ...

... platform. We work on large scale distributed systems, processing almost 3 trillion events per day ... We are seeking an experienced and strategic Director of Data Analytics to take the helm of a high ...

Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower ... Build the GTM Data Foundation That Powers Personalization & Revenue Acceleration The Director, Data ...

Showing results 21-40

Director Data Platform information

See California salary details

$51.3K

$126.8K

$197.4K

How much do director data platform jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director data platform in California is $126,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $161,400.00 per year, depending on experience, location, and employer.

What does a director data platform do?

A Director of Data Platform is responsible for leading the strategy, architecture, and management of an organization's data infrastructure. They oversee teams that build and maintain data platforms, ensure data quality and security, and enable data-driven decision making across the company. The role requires close collaboration with engineering, analytics, and business teams to support current and future data needs. Additionally, they evaluate new technologies and ensure the data platform scales with business growth.

What are the key skills and qualifications needed to thrive as a director data platform, and why are they important?

To thrive as a Director Data Platform, you need deep expertise in data architecture, data engineering, and analytics, usually backed by a degree in computer science or a related field and significant leadership experience. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data tools (such as Hadoop or Spark), and data governance frameworks is critical, along with certifications in cloud or data management. Exceptional strategic thinking, communication, and stakeholder management help drive cross-functional alignment and innovation. These capabilities ensure robust, scalable data infrastructures that support business goals and enable data-driven decision-making.

What are the main challenges a director data platform faces when scaling data infrastructure for a growing organization?

A Director of Data Platform often faces challenges related to balancing scalability, performance, and cost efficiency as the organization grows. Ensuring data security and compliance across multiple systems, integrating diverse data sources, and maintaining high data quality can be complex, especially as teams and data volumes expand. Additionally, the role requires close collaboration with engineering, analytics, and business teams to align the data platform with evolving business needs and to foster a data-driven culture. Proactive communication, strategic planning, and continuous learning are key to overcoming these hurdles.

What is the difference between Director Data Platform vs Data Engineer?

AspectDirector Data PlatformData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in Computer Science, Data Science, or related fields; leadership experienceBachelor's or Master's in Computer Science, Data Engineering, or related fields; certifications like AWS, Google Cloud, or Azure are common
Work EnvironmentLeads teams, oversees data platform architecture, strategic planning, and cross-department collaborationBuilds, develops, and maintains data pipelines, databases, and ETL processes
Industry UsageCommonly found in organizations with large-scale data needs, overseeing data infrastructureHands-on role in data processing, often working closely with data scientists and analysts

The Director Data Platform focuses on strategic leadership, architecture, and team management of data infrastructure, while Data Engineers are more involved in the technical development and maintenance of data pipelines and systems. Both roles are essential but differ in scope and responsibilities.

What are popular job titles related to Director Data Platform jobs in California?

For Director Data Platform jobs in California, the most frequently searched job titles are:

What job categories do people searching Director Data Platform jobs in California look for?

The top searched job categories for Director Data Platform jobs in California are:

What cities in California are hiring for Director Data Platform jobs?

Cities in California with the most Director Data Platform job openings:

Infographic showing various Director Data Platform job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,843 per year, or $61 per hour.

$49.04 - $77.88/hr

Full-time

Posted 7 days ago


Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

5th of 53 rated energy and utility


Job description

Requisition ID # 174343
Job Category: Engineering / Science
Job Level: Individual Contributor
Business Unit: Technology & Security
Work Type: Hybrid
Job Location: Oakland
Department Overview
Technology & Security delivers secure, resilient, and scalable enterprise platforms that support critical business applications, infrastructure services, cloud operations, automation, and emerging technology enablement.
Position Summary
The Data Platform Engineer (DPE) builds and supports modern data infrastructure that enables advanced business capabilities across AWS (RDS, Aurora, DynamoDB, Redshift), Azure (Azure SQL, Cosmos DB, Synapse), and AzureLocal (SQL Managed Instance). The DPE manages cloud storage services, including AWS (S3, EBS, EFS, FSx), Azure (Blob Storage, Azure Files, Managed Disks, Data Lake Storage), and AzureLocal (Storage Spaces Direct, Azure Managed Disks). The role focuses on designing reliable data pipelines and data structures that support analytics, AI, and machine learning workloads. The DPE also integrates AI capabilities into database platforms to improve automation, optimization, and predictive maintenance.
The role includes developing AI-driven workflows that support database maintenance, performance tuning, and data cleansing. Infrastructure provisioning for database and storage resources is managed through Terraform, including multi-cloud resource provisioning, lifecycle policies, encryption, replication, and access control as code. Deployment automation is implemented through Azure DevOps pipelines, including database schema migrations, storage provisioning, backup validation, and environment promotion from DEV to PROD.
PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
The hourly rate for this position ranges from $49.04 to $77.88.
This position is hybrid, working from your remote office and 1-2 days per week at our Oakland Headquarters based on business need. The assigned work location will be within the PG&E Service Territory.
Job Responsibilities
  • Build, test, and deploy data solutions and data pipelines for relational databases, data lakes, and data warehouses.
  • Build and implement data integrity, data cleansing, and data retention processes.
  • Create data objects within cloud storage services.
  • Troubleshoot, maintain, and install software components related to databases.
  • Collect, review, and analyze data to support operational reliability and performance optimization.
  • Partner with application teams to identify, analyze, and resolve data inconsistencies.
  • Assist in data quality controls, validation rules, reconciliation checks, schema drift handling, and automated exception reporting to improve trust in downstream analytics, AI, and reporting workloads.
  • Develop infrastructure-as-code modules and reusable deployment patterns for databases, storage accounts, networking dependencies, monitoring policies, backup configuration, replication, and environment promotion.
  • Plan and execute database and storage migrations from legacy or on-premises platforms to cloud-native architectures, including assessment, dependency mapping, cutover planning, validation, rollback planning, and post-migration optimization.

Qualifications
Minimum:
  • Bachelor's degree in computer science, job-related discipline, or equivalent experience
  • 2 years experience in infrastructure, systems administration, cloud operations, or related Information Technology functions
  • 1 year of experience supporting cloud technologies, cloud services, infrastructure automation, or cloud-based operating environments
  • AWS Certified Data Engineer or Azure Data Engineer or equivalent cloud platform certification

Desired:
  • 3 years of experience with databases.
  • Experience working in an Agile/Scrum environment
  • Knowledge of cloud technologies and services, including EC2, Lambda, Terraform, S3, OCI, and CI/CD, and containers
  • Experience with SQL, Oracle, NoSQL, Aurora Postgres, RDS, and Redshift
  • Experience with data management
  • Understanding of Agile/Scrum principles and team-based delivery practices
  • Knowledge of continuous integration and continuous deployment practices and tools
  • Understanding of the AI development life cycle
  • Understanding of machine learning concepts, platforms, and operational workflows
  • Ability to deliver work in sprints and collaborate effectively with cross-functional teams
  • Experience with scripting

Purpose, Virtues and Stands
Our Purpose explains "why" we exist:
  • Delivering for our hometowns
  • Serving our planet
  • Leading with love

Our Virtues capture "who" we need to be:
  • Trustworthy
  • Empathetic
  • Curious
  • Tenacious
  • Nimble
  • Owners

Our Stands are "what" we will achieve together:
  • Everyone and everything is always safe
  • Catastrophic wildfires shall stop
  • It is enjoyable to work with and for PG&E
  • Clean and resilient energy for all
  • Our work shall create prosperity for all customers and investors

More About Our Company
EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice
PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.

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