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Dataform Jobs (NOW HIRING)

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Ensure seamless integration of Dataform Looker Databricks and GCP services Cloud Data Platform * Architect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub

You will also gain exposure to data transformation frameworks like Dataform and AI/ML use cases. As a Data Architect, you will help enable: * Advanced Supply Chain Intelligence: Support development ...

Analytics Engineer

$40 - $60/hr

Design staged → mart layers in BigQuery using Dataform (naming, conventions, macros). * Metrics & semantics: Define business-ready metrics (grain, SCD strategy, time zones, null handling) and ...

... DataForm, CloudSQL, Spanner, etc 4. Expertise in ETL/ELT 5. Third party integration experience with Salesforce etc 6. Microservices architecture 7. Proficiency in programming languages and scripting ...

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Our tech stack includes Python, SQL, Fivetran, BigQuery, Dataform, Sigma, GA4. What you will do Data Engineering * Design, build, and maintain scalable batch and real-time data pipelines across ...

New

GCP Data Architect

Encino, CA · On-site

$66.75 - $86/hr

BigQuery, Cloud Storage Dataform/ Dataflow / Dataproc Pub/Sub, Composer (Airflow). Deep understanding of data warehousing, lakehouse, and analytics architectures. Experience with cloud data ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop data transformation logic using Python, SQL, and DBT/Dataform * Help ensure data quality, consistency, and readiness for analytics and reporting * Monitor and improve pipeline performance ...

Tooling • Snowflake (ACCOUNT_USAGE/ORGANIZATION_USAGE), Snowsight, dbt/Dataform, Python, Looker/Power BI, Git, Terraform (snowflake provider). Role summary: Own Snowflake FinOps strategy and ...

Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data. * Conduct architectural reviews, define coding ...

Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data. * Conduct architectural reviews, define coding ...

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How much do dataform jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for dataform in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a Dataform job?

A Dataform job typically involves managing and transforming data within the Dataform platform, which is used for data workflow automation and version control in analytics engineering. Professionals in this role write SQL-based transformations, schedule data pipeline executions, and maintain data quality checks. They often work closely with data engineers and analysts to ensure reliable and scalable data workflows.

Is Dataform an ETL tool?

Dataform is a data modeling and transformation tool that helps automate and manage data workflows within data warehouses. It is often used for building ELT (Extract, Load, Transform) pipelines, making it suitable for data transformation tasks in an ETL-like process. Dataform integrates with cloud data platforms and supports SQL-based workflows.

How does dataform work?

A Dataform professional manages data workflows by designing, developing, and maintaining data pipelines that automate data transformation and integration processes. They typically use tools like SQL, scripting languages, and data orchestration platforms to ensure data quality and consistency for analytics and reporting. Strong knowledge of databases, data modeling, and version control is essential for this role.

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

To excel as a Dataform professional, you need expertise in data modeling, SQL, ELT pipelines, and strong analytical reasoning, typically supported by a degree in computer science, data engineering, or a similar field. Familiarity with Dataform itself, cloud data warehouses (like BigQuery or Snowflake), and version control tools such as Git is highly beneficial. Strong problem-solving abilities, attention to detail, and clear communication skills help individuals stand out in this role. These competencies are crucial for efficiently building reliable, scalable data workflows and collaborating with cross-functional teams.

How much does Dataform cost?

Dataform offers a free tier with basic features suitable for small projects and individual users. Paid plans with additional features and support start at a monthly fee, typically around $50 to $100, depending on the scale and requirements of the organization.

What is the highest paying job in data?

In the data field, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data architecture, cloud platforms, and leadership, and they typically involve overseeing large data teams and strategic data initiatives.

What does a typical day look like for someone working in a Dataform role?

A typical day for a Dataform professional involves designing and maintaining data transformation pipelines, collaborating with data analysts and engineers to understand business requirements, and troubleshooting data issues as they arise. You might also spend time optimizing SQL queries, managing data warehouse schemas, and ensuring that data models are well-documented and reliable. Team meetings and code reviews are common, supporting a collaborative environment where knowledge sharing is encouraged. This role is a great fit for those who enjoy solving complex data challenges and contributing to robust, scalable data infrastructure.

More about Dataform jobs
Infographic showing various Dataform job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

GCP Databricks Architect

MSR Cosmos

Davidson, NC • On-site

$59 - $76/hr

Contractor

Posted 26 days ago


Job description

Role: GCP Databricks Architect
Location: Davidson, NC Onsite
Duration: Long Term
 
"BRIEF POSITION SUMMARY
 
Experienced Data Platform Architect to design and manage enterprise grade data solutions This role will focus on building and optimizing data platforms leveraging Google Cloud Platform GCP Databricks Looker and Data form ensuring scalability security and performance across all data driven applications
 
Key Responsibilities
 
  • Data Architecture  Strategy
  • Design and implement modern data platform architecture for enterprise applications
  • Ensure seamless integration of Dataform Looker Databricks and GCP services
 
Cloud Data Platform
  • Architect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub
  • Optimize data pipelines for performance and cost efficiency
 
Analytics  BI
  • Develop semantic models and dashboards in Looker
  • Enable selfservice analytics and governance
 
Data Engineering
  • Build and maintain data workflows using Dataform and Databricks
  • Implement best practices for data ingestion transformation and orchestration
 
DevOps for Data
  • Establish CICD pipelines for data workflows
  • Automate deployments and monitoring for data services
 
Governance  Security
  • Define and enforce data governance security and compliance standards
 
 Required Skills  Experience
  • Cloud Expertise Strong experience with GCP Data Platform
  • Data Engineering Tools Proficiency in Databricks Dataform and SQLbased transformations
  • BI Tools Advanced knowledge of Looker
  • Programming Python SQL Spark
  • DevOps Familiarity with CICD tools and Infrastructure as Code Terraform
  • Architecture Ability to design endtoend data solutions for largescale enterprise environments
 
Preferred Qualifications
  • Google Professional Data Engineer or Cloud Architect certification
  • Databricks Certified Data Engineer
  • Experience with modern data governance frameworks
  • Exposure to AIML and advanced analytics
 
Soft Skills
  • Strong communication and collaboration skills
  • Ability to work in an agile environment and manage multiple priorities
  • Thought leadership in modern data architecture principles"