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Data Engineering Architect Jobs (NOW HIRING)

ECS Resource Group

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

This role owns the endtoend data engineering architecture - from ingestion and lakehouse design to enabling trusted, selfservice analytics across the organisation. You will lead a small engineering ...

Alltech Consulting Services, Inc.

Data Architect

Dallas, TX · On-site

$63.25 - $81.50/hr

Data Engineer Architect Location: Dallas, TX(Onsite) Experience 15+Years Looking for a data professional with expertise in data engineering, programming and architect to build systems that collect ...

AceStack LLC

Cloud Data Architect

Carrollton, TX · On-site

$61.50 - $79.25/hr

West Lake, CA or Carrolton, TX (Onsite) Fulltime Must Have Technical/Functional Skills • 8+ years in data engineering/architecture; 3+ years in cloud-native architectures. • Hands-on expertise in ...

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Cyber 1 Armor

Data Architect

Milpitas, CA · On-site

$72.75 - $93.50/hr

Provide technical guidance to data engineering teams * Conduct architecture reviews and code reviews * Mentor engineers on Databricks and Azure best practices * Evaluate and recommend new ...

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All JobsData Engineering Architect Jobs

Data Engineering Architect information

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$10

$69

$94

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.

Data Engineering Lead

ECS Resource Group

Newark, NJ • Hybrid

£60K - £90K/yr

Other

Posted 27 days ago

Job description

Job Description Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data platform. This role owns the endtoend data engineering architecture - from ingestion and lakehouse design to enabling trusted, selfservice analytics across the organisation. You will lead a small engineering team, define technical standards, and work closely with senior stakeholders to ensure data underpins strategic and operational decisionmaking.

Role Purpose To take ownership of the organisation's data platform architecture and delivery, ensuring reliable, scalable ingestion pipelines, a welldesigned data warehouse, and highquality analytics products. The role combines handson technical leadership with people management and crossbusiness collaboration. Key Responsibilities Data Platform & Architecture Own the data warehouse schema, lakehouse design, and core data models Translate business requirements into pragmatic, scalable data architecture decisions Define, implement, and maintain data contracts aligned to business domains Establish data quality, observability, and SLA frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermarkbased ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark / Python Fabric Notebooks Implement and maintain a medallion lakehouse architecture using OneLake and Fabric Warehouses Ensure Direct Lake-ready semantic models for analytics Lead incident management, root cause analysis, and data issue postmortems Analytics Enablement Enable selfservice analytics through governed Power BI datasets Support and guide the production of trusted Power BI reporting using data contracts Leadership & Ways of Working Define engineering standards and review pull requests Mentor and develop 2-4 data and cloud engineers Drive the data and warehouse roadmap alongside the Digital Transformation Director Champion CI/CD, secure secret management, and software engineering best practices Role Objective Deliver and continuously refine a Microsoft Fabric data warehouse supporting businessled decision making Integrate data from diverse sources including APIs, files, databases, and cloud platforms Establish data contracts as a core mechanism for trusted analytics Scale Power BI reporting using standardised, highquality data products Provide clear, motivating leadership to direct reports Conduct regular 1:1s, performance reviews, and development planning Recruit, onboard, and develop a highperforming data engineering team Ensure compliance with company policies, legal obligations, and operating procedures Experience & Technical Skills Seniorlevel experience in data engineering roles Experience leading or mentoring data engineers Handson experience with Microsoft Fabric, including: Workspaces, OneLake, Fabric Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems endtoend Wider Azure data platform experience (e.g

Synapse, Databricks) CI/CD pipelines within Azure and Fabric Azure Key Vault or similar secret management Experience in telecoms or cloudfocused environments Strong understanding of dimensional modelling and medallion architecture Experience integrating REST APIs, SFTP, and cloudbased data sources Ability to communicate technical tradeoffs to nontechnical stakeholders Excellent troubleshooting, prioritisation, and delivery focus

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