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Z Modular Jobs in California (NOW HIRING)

All JobsZ Modular JobsZ Modular Jobs in California

Z Modular information

See California salary details

$20.6K

$72.6K

$144.4K

How much do z modular jobs pay per year?

As of Sep 1, 2026, the average yearly pay for z modular in California is $72,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,679.00 and $97,922.00 per year, depending on experience, location, and employer.

What is a Z Modular?

A Z Modular job typically involves working in modular construction, where buildings are produced in a controlled factory setting using a standardized steel framing system. Employees may work in design, engineering, manufacturing, or assembly to create prefabricated modules that are later transported and assembled on-site. Jobs range from skilled trades such as welding and carpentry to project management and quality control. The goal is to improve efficiency, reduce waste, and speed up construction timelines compared to traditional methods.

What does a typical workday look like for someone working at Z Modular?

A typical day at Z Modular involves collaborating with project managers, engineers, and tradespeople to oversee the design, fabrication, or installation of modular building components. You may be tasked with reviewing architectural blueprints, coordinating schedules, ensuring compliance with building codes, and regularly communicating with off-site manufacturing teams. Expect regular site visits or meetings to monitor progress, troubleshoot issues, and maintain strict quality and safety standards. The collaborative nature of this role means you'll often work with a diverse team and may have opportunities to learn new construction technologies. This fast-paced, innovative environment provides strong growth potential for those looking to advance in the modular building industry.

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

To thrive as a modular construction professional at Z Modular, you need a strong background in construction management, structural engineering, or architecture, often backed by relevant certifications and field experience. Familiarity with modular construction software like AutoCAD, Revit, or BIM tools, as well as project management systems such as Procore, is typically expected. Excellent problem-solving skills, teamwork, and effective communication are important soft skills for navigating complex, fast-paced project environments. These competencies enable the delivery of high-quality modular buildings on strict timelines while ensuring smooth coordination across design, engineering, and on-site teams.

What cities in California are hiring for Z Modular jobs?

Cities in California with the most Z Modular job openings:

Z Modular jobs near you
Infographic showing various Z Modular job openings in California as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $72,640 per year, or $34.9 per hour.

Senior Architect-Data Engineer

Tata Consultancy Service Limited

Irvine, CA • On-site

$150K - $240K/yr

Full-time

Posted 11 days ago

Job description

Senior Architect Data Engineering
Role Overview
We are seeking a visionary and hands-on Senior Data Engineering Architect to design, scale, and optimize our enterprise data platform. In this role, you will define the blueprints for our data estate, leveraging a modern stack centered on Databricks, dbt, and Apache Airflow. You will bridge the gap between complex business strategy and technical implementation, ensuring our data pipelines are scalable, resilient, and cost-effective.
Key Responsibilities
Architecture & Platform Design
• Design end-to-end lakehouse architectures on Databricks utilizing Delta Lake and Unity Catalog.
• Establish robust governance, schema evolution, and fine-grained data security patterns.
• Formulate standard frameworks for data modeling (e.g., Kimball dimensional modeling, Data Vault 2.0).
• Optimize infrastructure for optimal price-to-performance across batch and streaming workloads.
⚙️ Data Pipeline & Orchestration Engineering
• Architect modular, reusable transformation frameworks using dbt Core/Cloud integrated with Databricks.
• Standardize data processing patterns using PySpark, Delta Live Tables (DLT), and Spark SQL.
• Build highly observable, dynamic orchestration workflows using Apache Airflow.
• Design cross-DAG dependency models, custom providers, and robust error-handling mechanisms.
DataOps & Engineering Excellence
• Drive DataOps maturity by implementing CI/CD pipelines via GitHub Actions, GitLab CI, or Azure DevOps.
• Deploy infrastructure-as-code patterns using Terraform and Databricks Asset Bundles (DABs).
• Embed automated data quality testing directly into the dbt and Airflow lifecycle.
• Define service-level indicators (SLIs) and objectives (SLOs) for pipeline uptime and data freshness.
Leadership & Stakeholder Management
• Serve as the principal technical authority and escalation point for data engineering teams.
• Mentor senior and mid-level data engineers through code reviews and architectural workshops.
• Collaborate with product managers, data scientists, and business leaders to solve data gaps.
Required Qualifications
• Overall 15+ Years of experience
• 10+ years of total experience in data engineering, data warehousing, and distributed systems.
• 4+ years of dedicated experience architecting production environments within the modern data stack.
Technical Proficiencies
• Databricks: Advanced mastery of Photon engine, Unity Catalog, Delta Lake optimization (Z-order, Liquid Clustering), and DLT.
• dbt: Expert-level proficiency with compl ex macro development, custom materializations, and multi-project dbt mesh architectures.
• Airflow: Deep understanding of Airflow scheduling, custom operators, dynamic task mapping, and infrastructure scaling.
• Languages: Elite proficiency in Python (PySpark) and advanced SQL.
• Cloud Infrastructure: Strong experience with at least one major cloud ecosystem provider: AWS, Azure, or GCP.
Soft Skills
• Strong technical communication skills to distill complex infrastructure designs for non-technical stakeholders.
• Natural ability to lead by influence and drive cross-functional engineering initiatives.
Preferred Qualifications
• Official Databricks certifications (e.g., Databricks Certified Data Engineer Professional or Solutions Architect).
• Active contributor to open-source data communities (dbt, Airflow, or Apache Spark).
• Solid foundation in streaming data technologies like Apache Kafka or AWS
Salary Range- $150,000-$240,000 a year

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