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Data Engineer Architect Jobs (NOW HIRING)

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions. Key Responsibilities * Design ...

Staff Data Architect

Chicago, IL · On-site

$157 - $192/hr

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

New

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

Staff Data Architect

Frisco, TX · On-site

$150 - $230/hr

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

New

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

Data Engineer III

Denver, CO · On-site

$117K - $141K/yr

Develop and support data products using Medallion Architecture (Bronze, Silver, and Gold layers). * Build and maintain dbt models, reusable transformations, and analytics engineering frameworks.

Showing results 41-60

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:
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.

$117K - $141K/yr

Other

Re-posted 20 days ago


Job description

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with experience supporting analytics, reporting, and data-driven business initiatives. This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure and Databricks.
  • Build and optimize data ingestion processes from multiple structured and unstructured data sources.
  • Develop and maintain data models, data warehouses, and data marts to support business intelligence and analytics needs.
  • Write complex SQL queries, stored procedures, and performance-tuned data transformations.
  • Implement data quality, validation, and monitoring processes to ensure data accuracy and integrity.
  • Develop and maintain Databricks notebooks, workflows, and Spark-based data processing solutions.
  • Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
  • Optimize data pipelines for performance, scalability, and cost efficiency.
  • Support production deployments, troubleshoot data issues, and perform root cause analysis.
  • Create and maintain technical documentation, data lineage, and operational procedures.

Required Qualifications

  • 5 7 years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong SQL expertise including query optimization, performance tuning, indexing, and complex data transformations.
  • Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics.
  • Strong experience with Databricks, Apache Spark, PySpark, and notebook development.
  • Experience building and maintaining ETL/ELT pipelines in cloud environments.
  • Proficiency in Python for data engineering and automation tasks.
  • Experience with dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Familiarity with Git-based source control and Agile development methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Experience with Power BI or other reporting and visualization platforms.
  • Knowledge of Delta Lake, Lakehouse architecture, and real-time data processing.
  • Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices.
  • Experience working with large-scale enterprise datasets and distributed data processing.
  • Familiarity with data security, compliance, and access control best practices.
  • Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.