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Data Engineering Architect Jobs (NOW HIRING)

MMD Services, Inc

AI & Data Engineering Architect

Elmhurst, IL · On-site

$63.50 - $81.75/hr

The AI & Data Engineering Architect is a strategic and high-impact role responsible for advancing organizational AI capabilities and optimizing the data ecosystem that enables them. This position ...

Yantran LLC

Data Engineering Architect

Oak Brook, IL · On-site

$64.50 - $82.75/hr

THE OPPORTUNITY Seeks a DATA ENGINEERING ARCHITECT in Oak Brook, IL. WHAT YOU WILL GET TO DO Provide top-quality solution design and implementation for clients. Provide support in defining the scope ...

Lovelytics

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

We're looking for a Data Engineering Architect to design and lead the build-out of modern, scalable data platforms and pipelines for clients across industries. This role is deeply hands-on in data ...

Hp

Principal Data Architect

Spring, TX

Principal Data Architect Description - We are seeking a Data Engineering Architect who will lead both enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry ...

HP

Principal Data Architect

Shenandoah, TX · On-site

We are seeking a Data Engineering Architect who will lead both enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry analytics, and business intelligence ...

HP

Principal Data Architect

Spring, TX · On-site

Principal Data Architect We are seeking a Data Engineering Architect who will lead both enterprise data platform architecture and data strategy to enable scalable AI/ML, telemetry analytics, and ...

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Data Engineering Architect information

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$10

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How much do data engineering architect jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data engineering architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

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

AspectData Engineering ArchitectData Engineer
CredentialsBachelor's or Master's in CS, Data Science, or related; certifications like AWS, GCP, or Azure data certificationsBachelor's in CS, IT, or related; certifications are optional but beneficial
Work EnvironmentDesigns data infrastructure, oversees architecture, collaborates with stakeholdersBuilds, tests, and maintains data pipelines and databases
Industry UsageUsed in organizations with complex data systems, cloud environments, and large-scale data needsCommon across industries for data processing and management tasks

The Data Engineering Architect focuses on designing and overseeing the entire data infrastructure, ensuring scalability and efficiency. In contrast, Data Engineers implement and maintain the data pipelines and systems based on the architecture. Both roles require similar technical skills but differ in scope and strategic involvement.

What cities are hiring for Data Engineering Architect jobs? Cities with the most Data Engineering Architect job openings:
What states have the most Data Engineering Architect jobs? States with the most job openings for Data Engineering Architect jobs include:
Infographic showing various Data Engineering Architect job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.
AI & Data Engineering Architect

AI & Data Engineering Architect

MMD Services, Inc

Elmhurst, IL • On-site

$63.50 - $81.75/hr

Other

Posted 20 days ago

Job description

The AI & Data Engineering Architect is a strategic and high-impact role responsible for advancing organizational AI capabilities and optimizing the data ecosystem that enables them. This position focuses on defining and implementing scalable architecture patterns, tools, governance frameworks, and processes that support AI adoption and data-driven decision-making.

This role plays a critical part in designing and evolving modern data platforms and analytics solutions, ensuring they effectively support both operational intelligence and advanced AI use cases.

The AI & Data Engineering Architect works cross-functionally with enterprise architecture, data engineering, analytics, and business stakeholders to develop and execute a cohesive AI and data strategy aligned with organizational goals.

Position Summary:

  • Define and execute AI & data strategy in partnership with architecture, data, and business leaders.
  • Develop and maintain a multi-year roadmap covering capabilities, tools, and infrastructure.
  • Design scalable AI solutions (e.g., GenAI, RAG, agent-based systems, LLM orchestration).
  • Evaluate emerging AI technologies and their impact on development and productivity.
  • Lead Proof of Concepts to test new approaches and transition successful solutions to production.
  • Define and evolve scalable, cloud-based data platforms for analytics and AI.
  • Architect ETL/ELT pipelines and data models for real-time and historical use cases.
  • Establish governance standards for data quality, security, and responsible AI usage.
  • Enable BI and self-service analytics with clean, governed data.
  • Optimize systems for performance, scalability, and reliability.

Experience

  • Hands-on experience designing and implementing AI/ML solutions, particularly with Generative AI and LLM-based applications.
  • Strong background in data architecture, data engineering, or related fields, with expertise in data modeling, warehousing, and distributed systems.
  • Proficiency in cloud platforms (e.g., AWS, Azure, or Google Cloud Platform), along with strong programming and query skills (e.g., Python, SQL).
  • Proven ability to work across technical and business teams to translate requirements into scalable data and AI solutions.
  • Familiarity with leading AI platforms, tools, and vendors, including emerging startups and LLM providers.
  • Experience with advanced AI architectures, automation in the software development lifecycle, and AI-driven testing approaches.
  • Experience with modern data platforms (e.g., Snowflake, Databricks) and BI tools (e.g., Power BI, Tableau, Qlik).
  • Awareness of trends such as natural language-driven development, agentic workflows, and context-sharing protocols.

MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.

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