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Cloud Data Management Jobs (NOW HIRING)

AWS Cloud Data Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining ... You will collaborate closely with cross-functional teams including project managers, business ...

Cloud Data Architect Location: REMOTE Pay Rate: $23/hr. Working Hours:must work at least 4 hours of ... Snowflake / SQL Architect • Architect and manage scalable data solutions using Snowflake and ...

Cloud Data Engineer

Arlington, TX

$50.25 - $67/hr

Summary Act in pivotal role in designing, developing, and maintaining cloud-based data solutions ... Manage High Performance Computing Environments * Active Directory Administration * Network ...

Cloud Data Engineer - EDW

Skokie, IL · On-site

$41.64 - $64.54/hr

Project management skills a plus * Experience working with Research data models like OMOP/CAPriCORN a plus * Experience with Business Intelligence tool like Power BI a plus * Familiarity with health ...

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our ... Experience with cloud-based data lakes, data warehouses, and related tooling. * Strong ...

Cloud Data Architect Minneapolis or Dallas Fulltime Must Have Technical/Functional Skills Architect ... Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool ...

Cloud Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

This role will be responsible for designing, managing, and automating data processes across our ... Experience with cloud-based data lakes, data warehouses, and related tooling. * Strong ...

Senior Data Engineer

Quincy, MA · Hybrid

$111.50K - $151.40K/yr

Involve in Design and development of cloud-based data management systems. Proficiency and practical experience in Design and implementation of data pipelines in a decentralized data architecture like ...

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Senior Cloud Security Architect (26185)

Durham, NC · Hybrid

$61.75 - $82/hr

NetApp Data Fabric simplifies and integrates data management across cloud and on-premises to accelerate digital transformation. It delivers consistent and integrated data management services and ...

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Cloud Data Management information

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$10

$61

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How much do cloud data management jobs pay per hour?

As of May 31, 2026, the average hourly pay for cloud data management in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What is a Cloud Data Management job?

A Cloud Data Management job involves overseeing the storage, organization, security, and accessibility of data in cloud environments. Professionals in this role ensure data integrity, optimize cloud storage costs, and implement backup and recovery strategies. They work with cloud platforms like AWS, Azure, or Google Cloud to manage databases, data lakes, and warehouses. The role often requires expertise in data governance, compliance, and automation to streamline data workflows.

What are the key skills and qualifications needed to thrive in the Cloud Data Management position, and why are they important?

To thrive in Cloud Data Management, you need a strong understanding of cloud platforms (such as AWS, Azure, or Google Cloud), data modeling, and database administration, often backed by a degree in computer science or a related field. Familiarity with data integration tools, cloud-based data warehouses (like Snowflake or BigQuery), data governance frameworks, and certifications such as AWS Certified Data Analytics or Google Cloud Certified are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals collaborate across teams and ensure data integrity. Mastering these skills is crucial for secure, scalable, and efficient data management in dynamic cloud environments.

What are some typical challenges faced in a Cloud Data Management role, and how are they addressed?

Professionals in Cloud Data Management often encounter challenges such as ensuring data security across distributed systems, optimizing data performance, and maintaining compliance with various regulations. Addressing these challenges requires staying updated with best practices in cloud security, leveraging automation for data integration, and closely monitoring cloud resource usage. Collaboration with IT security teams, data engineers, and compliance officers is common to proactively identify and mitigate risks. Adopting a culture of continuous learning and process improvement helps professionals adapt to evolving cloud technologies and changing business needs.
What cities are hiring for Cloud Data Management jobs? Cities with the most Cloud Data Management job openings:
What are the most commonly searched types of Cloud Data Management jobs? The most popular types of Cloud Data Management jobs are:
Infographic showing various Cloud Data Management job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 50% In-person, 6% Hybrid, and 44% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

$53.25 - $71.25/hr

Full-time

Posted 3 days ago


Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.

JOB SUMMARY

Responsible for designing and implementing robust data pipelines. Must maintain high data quality and security in cloud environments, automating tasks with Python and Bash scripting, and continuously research new technologies to enhance scalability. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems.

DUTIES & RESPONSIBILITIES

  • Design and implement data pipelines to move and transform data from various sources into cloud-based data warehouses.
  • Develop and maintain ETL processes using tools such as Fivetran, Matillion, SSIS, SSAS, SSRS and Snowflake Dataflow on AWS.
  • Optimize data storage and retrieval by designing and implementing data partitioning, indexing, and compression strategies.
  • Build and maintain data processing infrastructure on cloud platforms such as AWS.
  • Collaborate with business and analysts to ensure data quality, accuracy, and availability for analysis and reporting.
  • Manage and lead Complex System Design, Integration and Development.
  • Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.
  • Implement security and access controls to protect sensitive data in cloud-based environments.
  • Automate data processing tasks using scripting languages such as Python or Bash
  • Research and evaluate new technologies and tools to improve data processing efficiency and scalability.
  • Mentor and train junior data engineers and provide technical guidance to cross-functional teams.
  • Perform other job-related functions as assigned.

QUALIFICATIONS

DEGREE TYPE:

Bachelor's Degree

FIELD(S) OF STUDY:

Computer Science, Engineering or related field

EXPERIENCE

  • Minimum of 4 years' experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.
  • Experience in data engineering with a focus on data warehousing and legacy systems.
  • Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.

COMPETENCIES/SKILLS

  • Good understanding of OLAP Cubes, Dimensional model.
  • Ability to lead and coach team members.
  • Strong communication skills and stakeholder engagement abilities; driving results through innovation, process improvement and creativity.
  • Able to prioritize and execute tasks in a high-pressure, fast-paced environment.
  • Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills.
  • Experienced with collaboration tools (Jira, Confluence, Lucid Chart;).
  • Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake.
  • Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS.
  • Excellent understanding of Windows, and Linux based infrastructure.
  • Working knowledge of various tools, open-source technologies, and cloud services

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line, Oceania Cruises and Regent Seven Seas Cruises brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises

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EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.