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Etl Data Architect Jobs (NOW HIRING)

This role requires strong technical capabilities, a deep understanding of data architecture, and ... Design, develop, and maintain ETL/ELT pipelines that support data warehouse, analytics, and ...

This role requires strong technical capabilities, a deep understanding of data architecture, and ... Design, develop, and maintain ETL/ELT pipelines that support data warehouse, analytics, and ...

ETL DEVELOPER

Roslyn, NY · On-site

$52.25 - $68.50/hr

... data architecture and design, data access security, data availability standards and methods, and ... ETL processes and staging database structures, OLAP database structures including fact and ...

SME Software Developer - ETL Platform

Mclean, VA · On-site

$51.50 - $67.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect and enhance enterprise-level ETL platforms and analytics systems. * Integrate ETL outputs with visualization tooling and the proprietary data model. * Review code, set task difficulty, and ...

ETL Developer

Sacramento, CA · On-site

$54.50 - $71.25/hr

ETL Talend Developer Sacramento, CA 12 Months + Right to Hire W2 only, no C2C at this moment ... Familiarity with Big Data Technologies (Ingestion Framework Spark) is a plus * Experience with Semi ...

Role name: ETL Data Engineer Work Location: Columbus, Ohio Start date: Immediate availability. Background check MANDATORY Job Type: Contract (C2C/W2) Interview: Phone/Video Role and responsibilities:

This role requires strong technical capabilities, a deep understanding of data architecture, and ... Design, develop, and maintain ETL/ELT pipelines that support data warehouse, analytics, and ...

ETL Developer, Sr.

Alameda, CA · On-site

$59.25 - $77.50/hr

... data architect, business analyst, and business users in the migration development, testing, and initial post production support of the ETL programs Qualifications : Required : • ETL programming ...

Job Title : ETL Lead Designer and Developer Location : Grand Rapids, MI Job Type : Full Time Roles ... Well versed with data modeling (i.e., conceptual, logical and physical design - with both ...

Knowledge of data warehouse architecture and dimensional modeling. * Experience with ETL/data integration tools and modern cloud data platforms. * Familiarity with Agile/Scrum testing methodologies.

Knowledge of data warehouse architecture and dimensional modeling. * Experience with ETL/data integration tools and modern cloud data platforms. * Familiarity with Agile/Scrum testing methodologies.

Knowledge of data warehouse architecture and dimensional modeling. * Experience with ETL/data integration tools and modern cloud data platforms. * Familiarity with Agile/Scrum testing methodologies.

New

Knowledge of data warehouse architecture and dimensional modeling. * Experience with ETL/data integration tools and modern cloud data platforms. * Familiarity with Agile/Scrum testing methodologies.

Knowledge of data warehouse architecture and dimensional modeling. * Experience with ETL/data integration tools and modern cloud data platforms. * Familiarity with Agile/Scrum testing methodologies.

Knowledge of data warehouse architecture and dimensional modeling. * Experience with ETL/data integration tools and modern cloud data platforms. * Familiarity with Agile/Scrum testing methodologies.

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Etl Data Architect information

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How much do etl data architect jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for etl data architect in the United States is $63.63, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.84 per hour, depending on experience, location, and employer.

What is an ETL data architect?

ETL Data Architects are professionals responsible for designing, implementing, and managing the processes that Extract, Transform, and Load (ETL) data within an organization. They create the architecture that moves data from source systems into data warehouses or other repositories, ensuring data quality, integrity, and performance. ETL Data Architects work closely with business analysts, data engineers, and other stakeholders to meet business requirements and optimize data workflows. Their expertise helps organizations make data-driven decisions by ensuring reliable and accessible data infrastructure.

How does an ETL data architect typically collaborate with data engineers and business analysts during a project?

An ETL Data Architect works closely with data engineers to design robust data pipelines and ensure that ETL processes align with the overall data architecture. They also collaborate with business analysts to understand data requirements, translate business needs into technical specifications, and ensure that solutions provide actionable insights. Regular meetings and documentation are common, fostering alignment across teams and smooth handoffs between design, implementation, and reporting phases. This collaborative environment helps deliver scalable, reliable data solutions that support organizational goals.

What are the key skills and qualifications needed to thrive as an ETL data architect, and why are they important?

To thrive as an ETL Data Architect, you need a strong background in data modeling, database design, and expertise in ETL processes, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, as well as experience with SQL and data warehousing systems, is essential. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the efficient and accurate movement, transformation, and integration of data necessary for informed decision-making across organizations.

What is the difference between Etl Data Architect vs Data Engineer?

AspectEtl Data ArchitectData Engineer
Primary FocusDesigning and overseeing ETL processes and data architectureBuilding, developing, and maintaining data pipelines and infrastructure
Skills & CertificationsData modeling, ETL tools, SQL, cloud platformsProgramming (Python, Java), SQL, cloud services, big data tools
Work EnvironmentData architecture teams, data warehouses, cloud platformsData pipelines, cloud environments, software development teams
Industry UsageData architecture planning, enterprise data managementData pipeline development, data integration projects

The main difference is that an Etl Data Architect focuses on designing and managing the overall ETL and data architecture, ensuring data flows efficiently across systems. In contrast, a Data Engineer primarily builds and maintains the data pipelines and infrastructure to support data processing and analysis. Both roles require strong technical skills and often collaborate closely within data teams.

Who are the top companies hiring for Etl Data Architect jobs?

The top employers for Etl Data Architect jobs are:

Infographic showing various Etl Data Architect job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $132,348 per year, or $63.6 per hour.

ETL Engineer

VTG

Chantilly, VA • On-site

Other

Posted 26 days ago


Job description

Overview
VTG is currently seeking a detail-oriented and experienced ETL Engineer to join our data engineering team. The ideal candidate will be responsible for designing, building, and maintaining data pipelines and integration processes that enable reliable, timely, and high-quality data delivery across the organization. This role requires strong technical capabilities, a deep understanding of data architecture, and the ability to collaborate effectively with cross-functional stakeholders.
What will you do?
Design, develop, and maintain ETL/ELT pipelines that support data warehouse, analytics, and application needs. Must be experienced with large data sets [hundreds of thousands of records, GB and TB size data sets]
Extract, transform, and load data from various sources into centralized storage solutions.
Design and enhance search and discovery platforms across large volumes of structured and unstructured data
Perform data ingestion, ETL, and integration across enterprise and multi-source environments
Optimize ETL workflows for performance, scalability, and reliability.
Conduct data validation, profiling, and quality checks to ensure accuracy and completeness.
Troubleshoot and resolve data inconsistencies, pipeline failures, or performance bottlenecks.
Build and maintain cloud-native solutions (AWS) aligned to secure and resilient architecture patterns
Partner with mission operators, analysts, and senior stakeholders to define requirements and deliver mission-relevant analytics
Translate mission needs into technical designs, architectures, and implementation roadmaps, ensuring alignment to operational objectives
Deliver clear, compelling visualizations, dashboards, and executive-level briefings that communicate analytic insights and recommendations
Provide technical leadership and mentorship, including hands-on development, code review, and team development
Own delivery of analytic capabilities from concept through deployment, accreditation, and sustainment
Support system accreditation, data governance, and security architecture, ensuring data integrity and compliance within classified environments
Do you have what it takes?
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
Minimum 6-8 years working in Linux Operating system with updating the system for efficient parallel processing, understanding memory, storage and processing data at scale
Minimum 6-8 years in Object Oriented programming. Python is preferred software development language
Minimum 6-8 years of demonstrated experience with applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment. Willing to consider substituting C2S if candidate has a minimum 4-6 years of cloud computing technology to include Azure, Oracle, Google, etc.
Minimum 4-6 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets. Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory.
Proficiency in SQL, including complex queries and query optimization.
6-8 Years of experience with AWS platform including understanding EC2, RCS instance types
Strong understanding of data warehousing concepts, data modeling, and schema design.
Hands-on experience with scripting languages such as Python, Bash, or PowerShell.
Familiarity with relational and NoSQL databases.
Experience using version control systems such as Git.
Must possess an active TS/SCI clearance with Poly on day one of employment