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Data Engineer Architect Jobs (NOW HIRING)

Synopsys

Data Engineer / Architect

Canonsburg, PA · On-site +1

$152K/yr

General Information Job Title Data Engineer / Architect Job ID 17934 City Canonsburg State/Province Pennsylvania Date Posted 16-Jun-2026 Job Category Data Science Job Subcategory Data Analyst Hire ...

Synopsys

Data Engineer / Architect

Mountain View, CA · On-site

You are a talented Data Engineer / Architect with a passion for designing and delivering modern data and analytics solutions. You excel at turning complex business requirements into scalable data ...

Key Choice Group

Senior Data Engineer/Architect

Richmond, VA · On-site

$61.75 - $82.75/hr

Senior Data Engineer/Architect Our client, a forward thinking insurance company, is seeking a talented Senior Data Engineer/Architect to join their team, hit the ground running, and help drive to ...

TLA-LLC

Data Architect

Mclean, VA

$64.50 - $83/hr

You will collaborate closely with cross-functional teams, including data engineers, analysts, and ... Develop and maintain the enterprise data architecture, defining the overall data strategy ...

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

You will collaborate closely with cross-functional teams, including data engineers, analysts, and ... Develop and maintain the enterprise data architecture, defining the overall data strategy ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform ...

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All JobsData Engineer Architect Jobs

Data Engineer Architect information

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$46K

$165K

$243.5K

How much do data engineer architect jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer architect in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Engineer Architect, you need expertise in data modeling, ETL processes, big data platforms, and a strong background in computer science or a related field. Proficiency with tools and systems such as Hadoop, Spark, SQL/NoSQL databases, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These capabilities are crucial for designing scalable, reliable data architectures that support business analytics and decision-making.

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

AspectData Engineer ArchitectData Engineer
CredentialsBachelor's/Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, certifications like AWS, GCP, or Azure
Work EnvironmentDesigns data infrastructure, collaborates with architects and stakeholdersBuilds and maintains data pipelines, works with data storage and processing
Employer & Industry UsageUsed in organizations with complex data architecture needsCommon across industries for data processing tasks

The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

How does a data engineer architect typically collaborate with data scientists and business analysts on large-scale projects?

A Data Engineer Architect plays a pivotal role in facilitating collaboration between data scientists, business analysts, and other stakeholders by designing robust data pipelines and scalable architectures that ensure reliable, timely access to data. They often gather requirements, translate business needs into technical solutions, and oversee the integration of diverse data sources. Regular communication and joint planning sessions help align the data infrastructure with analytical goals, making teamwork and cross-functional coordination essential aspects of the role. This collaborative environment fosters innovative problem-solving and ensures that the data architecture supports both immediate project needs and long-term business objectives.

What is a data engineer architect?

A Data Engineer Architect is a professional responsible for designing, building, and maintaining the architecture that allows organizations to collect, store, process, and analyze large volumes of data. They create scalable and reliable data pipelines, choose appropriate technologies, and ensure that data systems meet business requirements for performance and security. Data Engineer Architects often collaborate with data scientists, analysts, and other engineers to optimize data workflows and support decision-making processes. Their expertise is crucial for organizations looking to leverage big data and advanced analytics.
What cities are hiring for Data Engineer Architect jobs? Cities with the most Data Engineer Architect job openings:
What states have the most Data Engineer Architect jobs? States with the most job openings for Data Engineer Architect jobs include:
Data Engineer Architect jobs near you
Infographic showing various Data Engineer Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer / Architect

Synopsys

Canonsburg, PA • On-site, Remote

$152K/yr

Full-time

Re-posted 27 days ago

Job description

General Information
Job Title
Data Engineer / Architect
Job ID
17934
City
Canonsburg
State/Province
Pennsylvania
Date Posted
16-Jun-2026
Job Category
Data Science
Job Subcategory
Data Analyst
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $152000 - $228000
Descriptions & Requirements
Job Description and Requirements
We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to develop high-performance silicon chips and software solutions that accelerate innovation. Join us to transform the future through continuous technological advancement.
You Are:
You are a talented Data Engineer / Architect with a passion for designing and delivering modern data and analytics solutions. You excel at turning complex business requirements into scalable data products that enable informed decision-making across the organization.
With hands-on expertise across the modern data stack, you are equally comfortable architecting enterprise data solutions, building robust data pipelines, developing semantic models, and creating insightful dashboards. You understand that successful analytics depends on strong data foundations, thoughtful modeling, and close partnership with stakeholders.
You are a problem solver who combines technical depth with practical delivery skills. You thrive in collaborative environments, enjoy working across business and technical teams, and take pride in delivering high-quality, business-ready solutions that drive measurable impact.
What You'll Be Doing:
  • Partner with business and technical stakeholders to gather requirements, define solution architectures, and deliver high-quality data products.
  • Design, build, and maintain end-to-end data solutions spanning ingestion, transformation, modeling, and reporting layers.
  • Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
  • Design and implement robust dimensional and analytical data models that support trusted reporting and analytics.
  • Build, optimize, and maintain semantic models within Power BI to enable scalable self-service analytics.
  • Develop Power BI dashboards, reports, visualizations, and DAX measures that turn business requirements into actionable insights.
  • Ensure data quality, consistency, governance, and performance across the analytics ecosystem.
  • Collaborate with engineering, analytics, and business teams to establish best practices for data architecture and data management.
  • Troubleshoot and optimize data pipelines, warehouse performance, reporting models, and dashboard solutions.
  • Contribute to the evolution of Synopsys' modern data platform and analytics capabilities.

The Impact You Will Have:
  • Deliver scalable and reliable data solutions that empower data-driven decision-making across Synopsys.
  • Improve the accessibility, quality, and trustworthiness of enterprise data assets.
  • Accelerate business insights through modern analytics platforms and reporting solutions.
  • Enable stakeholders to make faster and more informed decisions through effective dashboards and reporting.
  • Support strategic initiatives by transforming complex data into meaningful business outcomes.
  • Help establish best practices that improve the efficiency and scalability of the enterprise data environment.

What You'll Need:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
  • 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
  • Strong hands-on expertise with:
    • Snowflake
    • dbt
    • Fivetran
    • Power BI
    • SQL (expert-level proficiency)
  • Strong experience with:
    • Dimensional modeling
    • Semantic modeling
    • Data warehouse architecture
    • Data modeling best practices
  • Experience designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
  • Proven experience building Power BI semantic models, writing DAX measures, and developing reports and dashboards.
  • Strong understanding of data quality, governance, scalability, and performance optimization.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Ability to work independently while collaborating effectively across cross-functional teams.

Who You Are:
  • A hands-on technical expert who enjoys solving complex data and analytics challenges.
  • A strong communicator who can translate technical concepts into business value.
  • A collaborative partner who works effectively with both technical and non-technical stakeholders.
  • Detail-oriented and committed to delivering high-quality, well-governed data solutions.
  • Curious and passionate about emerging technologies and modern data engineering practices.
  • Results-driven with a focus on delivering business outcomes through data.
  • Adaptable and comfortable operating in dynamic, fast-paced environments.

The Team You'll Be A Part Of:
You will join a team of data engineers, analytics engineers, architects, and business intelligence professionals focused on delivering enterprise-scale data and analytics capabilities. Working closely with business stakeholders and technology teams, you'll help build and evolve Synopsys' modern data platform while enabling trusted insights that drive strategic business decisions.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits designed to help employees thrive. Your recruiter will provide additional details regarding compensation and benefits throughout the hiring process.
#LI-DNI
#DataEngineering
#DataArchitect
#Snowflake
#PowerBI
#DBT
#AnalyticsEngineering
#SynopsysCareers
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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