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Director Cloud Data Engineer Jobs (NOW HIRING)

Senior Cloud Data Engineer

Buffalo, NY · On-site +1

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a seniorlevel individual contributor responsible for ... Direct accountability for the design and buildout of shared cloud data platform capabilities in ...

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart.

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

The Cloud Engineer will be a foundational hire to build our next generation data platform powering ... You are direct, relationship-oriented, and comfortable in an environment where decisions move ...

Cloud Data Engineer

Dallas, TX · On-site

$130K - $145K/yr

Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual ...

Cloud Data Engineer

Dallas, TX · On-site

$130K - $140K/yr

Cloud Data Engineer (Microsoft Fabric OR Azure Data Factory) | Full-Time Location: 100% Onsite In Dallas, TX Type: Full-Time Direct Hire (Permanent Opportunity) Interview Process: 2 Rounds (1 virtual ...

WI · On-site

$100 - $125/hr

As a Cloud Data Engineer, you are a valuable addition to our team. You are the point of contact for colleagues with less experience and are ready to support the further development of one of our ...

Alibaba Cloud Data Engineer

Sunnyvale, CA · On-site

$63.25 - $84.50/hr

Experience with real-time data streaming (Kafka, Flink, etc.) and data analytics (Spark, Airflow). * Knowledge of cloud networking and security on Alicloud. * Exposure to DevOps practices (Terraform ...

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The Cloud Data Engineer will ensure the reliability, performance, and security of applications while collaborating with data scientists to design, build, and maintain data pipelines and services.

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

Our client is seekding a Cloud Data Engineer for a direct hire opportunity. The Cloud Data Engineer's responsibilities include designing, implementing, and managing data solutions on Microsoft Azure ...

Cloud Data Engineer

Miami, FL · On-site

$100 - $125/hr

Must maintain high data quality and security in cloud environments, automating tasks with Python ... This role focuses on the development and implementation of data engineering solutions that enhance ...

Showing results 21-40

Director Cloud Data Engineer information

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$87

How much do director cloud data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for director cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is the difference between Director Cloud Data Engineer vs Cloud Data Engineer?

AspectDirector Cloud Data EngineerCloud Data Engineer
ResponsibilitiesOversees data engineering teams, strategy, and architectureDevelops, implements, and maintains cloud data pipelines and solutions
Required SkillsLeadership, project management, advanced cloud and data skillsStrong coding, cloud platform expertise, data modeling
CertificationsCloud certifications (AWS, Azure), leadership certificationsCloud certifications (AWS, Azure), data engineering certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on data pipeline development, cloud platform usage

The main difference is that the Director Cloud Data Engineer focuses on leadership, strategy, and overseeing data engineering teams, while the Cloud Data Engineer is primarily responsible for building and maintaining cloud data solutions. Both roles require cloud platform expertise and relevant certifications, but their scope and focus differ significantly.

What are the most commonly searched types of Cloud Data Engineer jobs?

The most popular types of Cloud Data Engineer jobs are:

What are popular job titles related to Director Cloud Data Engineer jobs?

For Director Cloud Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Director Cloud Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Senior Cloud Data Engineer

Buffalo, NY • On-site, Remote

M&T Bank
Finance and Insurance • 10K+ employees

$102K - $139K/yr

Full-time

Re-posted 18 days ago


Key responsibilities

  • Define and influence the architecture and engineering standards for enterprise cloud data platforms in Azure.

  • Own the design and buildout of core Azure-based data platform capabilities, including data ingestion, storage, processing, and analytics enablement.

  • Develop and maintain reference architectures and technical patterns for cloud-based data solutions.


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 188 frontline employees who took The Breakroom Quiz

78th of 176 rated banks


Job description

This role is four days onsite at our Seneca One Buffalo, NY location, with the flexibility to work from home one day per week

Overview:

The Senior Principal Cloud Data Engineer is a seniorlevel individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This role provides deep technical leadership across cloud data architecture, platform engineering, and enablement, ensuring that enterprise data solutions are scalable, secure, and consistent with M&T's data and technology strategies.

The role partners closely with Enterprise Architecture and the Data organization to help define and drive the enterprise data strategy from a cloud platform perspective. In addition to influencing strategy, this role is accountable for owning and engineering the associated Azurebased data platform capabilities that enable analytics, reporting, and datadriven solutions across the enterprise.

The position operates primarily upstream of data solution delivery, focusing on platform standards, reusable capabilities, and architectural alignment while remaining grounded in handson engineering and realworld implementation.

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Primary Responsibilities:

Enterprise Cloud Data Platform Leadership

  • Define and influence the architecture and engineering standards for enterprise cloud data platforms in Azure.

  • Serve as a senior technical authority for cloud data platform decisions, including tradeoffs across scalability, security, performance, and cost.

  • Provide technical leadership for the evolution of shared data capabilities used by analytics, reporting, and application teams.

Data Strategy Partnership

  • Partner closely with Enterprise Architecture and the Data organization to: Help shape and refine the enterprise data strategy, Translate data strategy into actionable cloud platform capabilities, Ensure cloud data platform designs align with enterprise data models, governance standards, and longterm architectural direction.

  • Act as a technical bridge between data strategy and engineering execution.

Cloud Data Platform Engineering (Azure)

  • Own the design and buildout of core Azurebased data platform capabilities, including but not limited to: Data ingestion and integration patterns, Enterprise data storage and lakehouse architectures, Data processing and transformation platforms, Analytics and consumption enablement patterns

  • Establish opinionated, reusable platform components and reference implementations rather than oneoff data solutions.

  • Ensure data platforms are built with automation, resilience, and security by design.

Standards, Patterns & Reference Architectures

  • Develop and maintain approved reference architectures and technical patterns for cloudbased data solutions.

  • Define standards for: Data pipelines and integration approaches, Storage, partitioning, and lifecycle management, Access control, encryption, and data protection, Monitoring, observability, and operational support

  • Ensure patterns are adoptionready and consumable by delivery teams.

Engineering Enablement

  • Reduce delivery friction for data engineers and analytics teams by providing: Clear technical guidance, Reusable templates and frameworks, Platformembedded controls and defaults

  • Promote consistency and reuse across data solutions while enabling appropriate flexibility for usecasedriven needs.

  • Influence adoption through engineering leadership rather than mandate.

HandsOn Technical Contribution

  • Remain actively engaged in: Architecture and design reviews, Proofs of concept and technical validations, Platform pilots and earlystage data initiatives

  • Validate that cloud data standards and platforms are practical, scalable, and operationally viable.

  • Provide technical mentorship to senior cloud and data engineers.

CrossFunctional Collaboration

  • Work in close partnership with: Enterprise and solution architecture, Data engineering, analytics, and governance teams, Cloud and infrastructure engineering, Security and risk management teams

  • Communicate data platform decisions and standards clearly to engineering leadership and senior technology stakeholders.

  • Ensure alignment between cloud platform capabilities and enterprise data objectives.

Scope of Responsibilities:
  • Senior individual contributor role with enterpriselevel impact.

  • Direct accountability for the design and buildout of shared cloud data platform capabilities in Azure.

  • No direct peoplemanagement or budget ownership.

  • Success measured by:

    • Adoption of enterprise data platform capabilities

    • Reduction in bespoke or inconsistent data solutions

    • Improved scalability and reliability of data workloads

    • Alignment between data strategy and platform execution

Education and Experience Required:

Combined minimum of 8 years' higher education and/or work experience in systems design, management and/or architecture

Strong understanding of the system development and infrastructure lifecycle and architecture, vendor best practices, IT Service Management, and systems design

Education and Experience Preferred:
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

  • Significant experience in data engineering or platform engineering roles

  • Demonstrated expertise in:

    • Azure data services and architectures

    • Cloudbased data integration and processing

    • Platformengineering approaches for data solutions

    • Infrastructure as Code and automation

  • Experience operating in largescale or regulated enterprise environments

  • Background in enterprise data platforms, analytics enablement, or data modernization

  • Familiarity with data governance, data quality, and operational data management practices

#LI-JB3 #Hybrid

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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