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Data Engineer Architect Jobs (NOW HIRING)

Atyeti Inc

Sr Azure Data Engineer/Architect

Princeton, NJ · On-site

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

Argyle Infotech

Lead Data Engineer

Plainsboro, NJ · On-site

$65/hr

Lead Data Engineer/Architect Location: Plainsboro, NJ - (Locals) Need to work 3-4 days onsite per week, mandatory Type: C2C Pay rate: $65/hr on C2C Key: Strong Snowflake architectural exposure with ...

Samprasoft

GCP Cloud Data Engineer

Irving, TX · On-site

$109.90K - $132K/yr

GCP Data Engineer Looking for a Big Data Engineer on Google Cloud Platform to help design, develop ... Architect and program sophisticated distributed systems and high performance compute and data ...

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Data Engineer Architect information

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$46K

$165K

$243.5K

How much do data engineer architect jobs pay per year?

As of May 28, 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.

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 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.

What cities are hiring for Data Engineer Architect jobs? Cities with the most Data Engineer Architect job openings:
Data Engineer Architect jobs near you
Infographic showing various Data Engineer Architect job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 56% Physical, 11% Hybrid, and 33% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Microsoft Fabric Data Engineer/Architect

Prophecy Technologies

Newark, NJ • On-site

$70.25 - $94/hr

Full-time

Posted 14 days ago

Job description

  • Minimum 5+ year's experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, Microsoft Fabric etc.
  • Azure experience is preferred over other cloud platforms.
  • Minimum 12 + years of proven experience with SQL, schema design and dimensional data modelling.
  • Solid knowledge of data warehouse best practices, development standards and methodologies.
  • Experience with ETL/ELT tools like ADF, Azure, MS Fabric etc., and data warehousing technologies like Azure Synapse, Azure SQL, ADLS etc.
  • Strong experience with big data tools (Microsoft Fabric, Databricks, Spark etc..) and programming skills in PySpark and Spark SQL.
  • Be an independent self-learner with a let s get this done approach and ability to work in Fast paced and Dynamic environment.
  • Knowledge in Microsoft Fabric Data Platform
  • Expertise in designing application solution on Azure Data Platform for complex business needs.
  • Serves as key technical expert engaged on designing, architecting, deploying and maintaining cloud solutions, Data Management & Analytics.
  • Strong knowledge of ETL patterns for data ingestion, processing and distribution using pipelines on Azure cloud services.
  • Leads technology proof of concepts to ensure feasibility of architecture solutions.
  • Provides architecture direction for engineers in support of a technical pattern.
  • Displays strong thought leadership in pursuit of modern data architecture principles and technology modernization.
  • Drives continuous technology transformation to minimize technical debt. Continuously improve efficiency and effectiveness of the architecture
  • Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise.
  • Participates in defining target state technology architecture and roadmaps. Ensures alignment of IT initiatives with the target state

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