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Azure Data Jobs in California (NOW HIRING)

Cloud Data Architect

San Jose, CA · On-site

$60 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Databricks * Strong data modeling, schema design, and metadata management experience * Hands-on experience with Spark and Databricks * Strong ...

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Cloud Data Architect

San Jose, CA · On-site

$60 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Databricks * Strong data modeling, schema design, and metadata management experience * Hands-on experience with Spark and Databricks * Strong ...

Data Solutions Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Cloud Data Architect

San Jose, CA

$60 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Databricks * Strong data modeling, schema design, and metadata management experience * Hands-on experience with Spark and Databricks * Strong ...

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Azure API Development * ETL Pipeline Development * DevOps & CI/CD * Apache Spark * SQL * Azure Data Services Key Responsibilities * Design and develop scalable batch and real-time data pipelines.

Senior Data Engineer

Emeryville, CA · On-site

$140/day

  • Medical

  • Dental

  • Vision

  • Retirement

We're looking for an Azure Data Engineer to help build and enhance a modern cloud-based data platform. This role will focus on Azure Data Factory (ADF) as part of the existing ecosystem while also ...

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks * Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental ...

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks * Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental ...

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

At least worked for min. 2 year in Azure SQL and ADF • SQL / Relational Database Proficiency ... Experience with data modeling, data warehousing, and ETL (Extract, Transform, Load) processes • ...

Data Engineer

Los Angeles, CA

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Showing results 21-40

Azure Data information

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

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

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What is an Azure Data job?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.
Infographic showing various Azure Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$60 - $80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Cloud Data Architect
San Jose, CA (100% Onsite) | 6+ Month Contract | $60-$80/hr (W2 or C2C)
Azure Data Architect | Databricks | Spark/PySpark | Python | Synapse | Data Governance
We're seeking a hands-on Cloud Data Architect to lead the design and evolution of enterprise Azure data platforms supporting analytics, AI, and business intelligence initiatives. This role combines architecture ownership with hands-on Databricks and Spark development in a highly visible enterprise environment.
MUST HAVES:
  • Bachelor's Degree in Computer Science (required)
  • 7+ years of experience in Data Engineering, Data Architecture, or Enterprise Analytics
  • 3+ years of experience designing cloud-based data architectures
  • Strong Azure experience including: Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Databricks
  • Strong data modeling, schema design, and metadata management experience
  • Hands-on experience with Spark and Databricks
  • Strong Python and SQL skills
  • Experience creating architecture documentation, system diagrams, and data flow diagrams
  • Ability to work onsite in San Jose, CA 5 days per week

NICE TO HAVE:
  • Unity Catalog, Purview, Collibra, DataHub, or similar governance tools
  • Airflow or dbt
  • Data lineage and metadata automation experience
  • CI/CD and modern data platform practices
  • Data security and governance experience
  • Experience with AI, machine learning, or enterprise data platforms

RESPONSIBILITIES:
CLOUD DATA ARCHITECTURE & STRATEGY
  • Architect and optimize cloud-based data lakehouse and warehouse solutions that support analytics, machine learning, and enterprise integration needs.
  • Define scalable and reusable data frameworks for ingestion, curation, transformation, and consumption.
  • Evaluate and integrate Azure cloud services (e.g., Databricks, Data Lake, Event Hubs) to deliver high-performance data solutions.
  • Implement architectural standards that ensure consistency, interoperability, security, and compliance across the data environment.
  • Partner with engineering and business stakeholders to align architectural decisions with organizational objectives and KPIs.
  • Drive architectural reviews, proof-of-concepts, and recommendations for future-state cloud data patterns.

METADATA, GOVERNANCE, & LINEAGE
  • Design and operationalize metadata-driven architectures that improve discoverability, lineage tracking, and data quality monitoring.
  • Collaborate with governance and engineering teams to implement active metadata approaches, enabling dynamic data cataloging and lineage visibility across pipelines.
  • Define and enforce standards for metadata capture, schema management, and classification in alignment with enterprise data governance policies.
  • Integrate data catalog tools and frameworks (e.g., Unity Catalog, Purview, or Collibra) with cloud ecosystems for automated metadata flow.
  • Ensure consistent application of metadata structures across ingestion, transformation, and consumption layers.

DIAGRAMMING, DOCUMENTATION & TECHNICAL CLARITY
  • Produce detailed architecture artifacts, including data flow diagrams, system blueprints, and logical/physical data models.
  • Communicate technical concepts clearly through visualization tools like Lucidchart, Visio, or Draw.io.
  • Maintain robust documentation of architecture decisions, integration patterns, and system dependencies.
  • Support cross-functional collaboration by sharing architecture roadmaps and data lineage documentation.

HANDS-ON IMPLEMENTATION & OPTIMIZATION
  • Contribute to the design and implementation of distributed data pipelines using Databricks and Spark.
  • Apply advanced optimization principles for performance, cost, and scalability across compute and storage layers.
  • Troubleshoot data latency, integrity, and transform issues across multi-environment pipelines.
  • Implement modernization best practices such as CI/CD automation, schema evolution management, and pipeline observability.
  • Partner with DevOps and platform teams to ensure maintainability and resilience of deployed solutions.

BENEFITS:
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
  • Medical, dental & vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life & AD&D for the employee and dependents)
  • Short and long-term disability
  • Health Spending Account (HSA)
  • Transportation benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)

NOTE:
  • This posting is for an existing vacancy.

Experience Level:
  • Expert Level
Job Type & Location
This is a Contract position based out of San Jose, CA.
Pay and Benefits
The pay range for this position is $60.00 - $80.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully onsite position in San Jose,CA.
Application Deadline
This position is anticipated to close on Aug 14, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.