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Enterprise Data Engineer Jobs (NOW HIRING)

Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to ... Ensure architectural alignment across data engineering, analytics, MDM, governance, and application ...

Data Engineer

North Charleston, SC · On-site

$109K - $131K/yr

Data Engineer Ingevity is expanding the maturity and reach of its enterprise data platform to support advanced analytics, AI-enabled workflows, and the next generation of intelligent business ...

Partner with engineering, analytics, and business teams to operationalize scalable data products and enterprise data domains. * Evaluate and implement modern data architecture tooling including ...

Data Engineer

North Charleston, SC · On-site

$109K - $131K/yr

Data Engineer Ingevity is expanding the maturity and reach of its enterprise data platform to support advanced analytics, AI-enabled workflows, and the next generation of intelligent business ...

AI Data Engineer 3

Redmond, WA

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Data Engineer

$105K - $120K/yr

G Solutions is seeking a Data Engineer to support enterprise-wide data engineering services across multiple programs, contracts, and internal initiatives. This role will deliver scalable, high-impact ...

AI Data Engineer

Kansas City, MO

$111K - $134K/yr

... enterprise data pipelines, artificial intelligence-enabled data systems, and data architecture solutions that support mission operations, data governance, and technology decision-making.

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprise-scale data pipelines that power analytics, reporting, marketing insights, and ...

Summary Role: Snowflake Data Engineer Location: Baltimore, MD (Onsite 5 Day week) Duration ... Design and implement enterprise-scale cloud data platforms using Snowflake. * Architect scalable ...

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Data Engineer | Day-to-Day * Design, develop, and maintain endtoend ETL pipelines using Talend Studio and Informatica to support enterprise analytics and reporting. * Build and maintain Databricks ...

Data Engineer

Lawrence Township, NJ

$127K - $152K/yr

Data Engineer | Day-to-Day * Design, develop, and maintain endtoend ETL pipelines using Talend Studio and Informatica to support enterprise analytics and reporting. * Build and maintain Databricks ...

Data Engineer

Lawrence, NJ · On-site

$122K - $146K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and supporting enterprise-scale data pipelines that power analytics, reporting, marketing insights, and ...

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Enterprise Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do enterprise data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for enterprise data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an enterprise data engineer?

An enterprise data engineer designs, builds, and maintains large-scale data systems and pipelines to support organizational data needs. They work with tools like SQL, Hadoop, and cloud platforms, ensuring data quality, security, and accessibility for analytics and decision-making.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the role entirely. Data engineers are still essential for designing data architectures, managing infrastructure, and integrating complex systems, requiring skills in programming, cloud platforms, and data modeling. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What are the key skills and qualifications needed to thrive as an Enterprise Data Engineer, and why are they important?

To thrive as an Enterprise Data Engineer, you need a solid background in data modeling, database management, and programming languages such as SQL, Python, or Scala, usually supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), ETL tools, and cloud services (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualities are essential for building scalable data solutions, ensuring data integrity, and facilitating cross-functional business insights.

What engineers make $500,000?

Senior enterprise data engineers with extensive experience, advanced skills in cloud platforms, data architecture, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

How does an Enterprise Data Engineer typically collaborate with other teams within an organization?

Enterprise Data Engineers frequently work alongside data scientists, business analysts, and IT teams to design and implement robust data pipelines and architectures. They play a crucial role in translating business requirements into scalable data solutions and often participate in cross-functional meetings to ensure alignment on data strategy and governance. Effective communication and teamwork are essential, as data engineers must coordinate with stakeholders to ensure data quality, accessibility, and security across various enterprise platforms.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role within the tech sector.
More about Enterprise Data Engineer jobs
What job categories do people searching Enterprise Data Engineer jobs look for? The top searched job categories for Enterprise Data Engineer jobs are:

Lead Enterprise Data Architect

Resideo

Saint Louis, MO • On-site

Full-time

Posted 21 hours ago


Resideo rating

7.7

Company rating: 7.7 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

60th of 139 rated electronics manufacturers


Job description

Enterprise Data Architect

We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, semantic/context layer engineering, and enterprise data architecture. This role combines strategic leadership with handson technical expertise to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use.

The Enterprise Data Architect designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities.

JOB DUTIES

Enterprise Data Architecture Leadership

  • Define and maintain the enterprise data architecture strategy, reference models, and standards
  • Create and govern canonical data models, domain models, and integration patterns
  • Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams
  • Drive modernization toward cloudnative, scalable, AIready architectures
  • Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention)

Data Modeling & Canonical Design

  • Lead design of conceptual, logical, and physical data models across domains
  • Establish enterprisewide modeling standards, naming conventions, and modeling patterns
  • Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data

Semantic / Context Layer Architecture

  • Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities
  • Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems
  • Ensure alignment with analytics engineering (dbt, metric stores, semantic tools)

Master Data & Governance Architecture

  • Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns
  • Partner with governance teams to operationalize policies through technology
  • Integrate metadata, lineage, and governance workflows into the architecture

Data Integration & Platform Architecture

  • Define ingestion, transformation, and consumption patterns across batch, streaming, and APIbased pipelines
  • Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and realtime components

Metadata, Catalog, and Lineage Architecture

  • Ensure scalability, performance, security, and cost optimization
  • Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems
  • Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar
  • Ensure metadata is complete, accurate, and actionable for governance and engineering teams

HandsOn Technical Execution

  • Build and validate architectural prototypes, POCs, and reference implementations
  • Write SQL, design schemas, build lineage connectors, and define transformation logic
  • Troubleshoot complex data architecture issues across pipelines, models, and platforms

CrossFunctional Leadership

  • Partner with data engineering, analytics, MDM, governance, product, and application teams
  • Provide architectural guidance, code reviews, and technical mentorship
  • Communicate architectural decisions to executives, engineers, and business stakeholders

    YOU MUST HAVE

  • 8+ years of experience in data architecture, data engineering, or enterprise architecture
  • Deep handson experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)
  • Strong expertise in data modeling (dimensional, relational, canonical, semantic)
  • Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar
  • Strong SQL, data pipeline design, and metadata/lineage engineering skills
  • Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.)
  • Ability to translate business needs into scalable architectural designs
  • Experience with enterprise architecture frameworks (TOGAF, DAMADMBOK)
  • Background in designing AIready data architectures (feature stores, vector stores, semantic layers)
  • Experience with APIdriven architectures and eventdriven patterns
  • Familiarity with data products and data mesh concepts
  • Adoption of standardized data models and architectural patterns across the enterprise
  • Reduction in data duplication, inconsistencies, and integration complexity
  • Highquality, governed, discoverable data powering analytics and AI
  • Scalable, costefficient cloud data platform performance
  • Strong alignment between business, engineering, and governance teams

    WE VALUE

  • Experience with enterprise architecture frameworks (TOGAF, DAMADMBOK)
  • Background in designing AIready data architectures (feature stores, vector stores, semantic layers)
  • Experience with APIdriven architectures and eventdriven patterns
  • Familiarity with data products and data mesh concepts

Success Measures

  • Adoption of standardized data models and architectural patterns across the enterprise
  • Reduction in data duplication, inconsistencies, and integration complexity
  • Highquality, governed, discoverable data powering analytics and AI
  • Scalable, costefficient cloud data platform performance
  • Strong alignment between business, engineering, and governance teams

#LI-FH1 #hybrid

Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions.

Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at www.resideo.com.

At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster, "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.


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