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Cloud Data Warehouse Jobs (NOW HIRING)

Data Warehouse Analyst Location: Tallahassee, FL 32301 Duration: 12 Months (Hybrid Role) At least 7 ... Extensive experience with Informatica IICS Cloud Data Integration tools and Snowflake is preferred.

Extensive experience with Informatica IICS Cloud Data Integration tools and Snowflake is preferred. Primary Job Duties/ Tasks 1.Strong Data Integration and Data Warehousing experience with Snowflake ...

Cloud Data Architect

$65.25 - $84/hr

Implement data warehousing and business intelligence solutions using MongoDB and AWS/Azure ... Cloud data architecture using MS SQL, SSIS, PowerBI, and MongoDB. * AWS/Azure cloud services ...

Cloud Data Engineer

Houston, TX · Remote

$109K - $131K/yr

You will be responsible for designing our data warehouses, implementing scalable AWS-based ... This role is ideal for someone with deep hands-on engineering expertise in cloud data ecosystems ...

Cloud Data Engineer

Houston, TX · On-site

$109K - $131K/yr

You will be responsible for designing our data warehouses, implementing scalable AWS-based ... This role is ideal for someone with deep hands-on engineering expertise in cloud data ecosystems ...

Senior Cloud Data Architect

Washington, DC · On-site

$76.25 - $102/hr

HOW A CLOUD DATA WAREHOUSE ARCHITECT WILL MAKE AN IMPACT: * Design, create, and maintain data architecture artifacts * Create and maintain an architectural roadmap for the Data Management and ...

For over 16 years, Trilyon has been a leader in global workforce solutions, specializing in Cloud ... We are seeking a Data Warehouse Analyst to join our team. This role will involve gathering and ...

Cloud Data Architect

Manhattan, NY · On-site

$70.25 - $90.25/hr

... data warehousing concepts, data normalization, dimensional data modelling and a variety of data ... Required : • Cloud Data Architect in Data & Analytics will play a key role in driving solution ...

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice ... Support the setup and configuration of Snowflake environments (warehouses, roles, resource monitors ...

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice ... Support the setup and configuration of Snowflake environments (warehouses, roles, resource monitors ...

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Cloud Data Warehouse information

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How much do cloud data warehouse jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for cloud data warehouse 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.

Is SQL Server a DWH?

SQL Server is a relational database management system that can be used as a data warehouse (DWH) when configured with features like columnstore indexes and data integration tools. However, it is primarily designed for transactional processing, and dedicated data warehouse solutions like Azure Synapse or Snowflake are optimized for large-scale analytical workloads. Cloud data warehouse roles often require knowledge of such specialized platforms and SQL skills.

What is the difference between ETL and DWH?

A Cloud Data Warehouse (DWH) is a centralized repository for storing large volumes of integrated data from multiple sources. ETL (Extract, Transform, Load) is the process used to extract data from source systems, transform it into a suitable format, and load it into the data warehouse. While ETL is a method for data integration, DWH is the storage environment that enables analytics and reporting.

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

AspectCloud Data WarehouseData Engineer
Primary RoleDesigning, implementing, and managing cloud-based data storage solutionsBuilding, maintaining, and optimizing data pipelines and infrastructure
Required SkillsSQL, cloud platforms (AWS, GCP, Azure), data modelingSQL, programming (Python, Java), ETL tools, cloud services
Work EnvironmentCloud platforms, data storage systemsData pipelines, cloud infrastructure, coding environments
CertificationsCloud certifications (AWS, GCP, Azure)Data engineering certifications (Google Cloud Professional Data Engineer, AWS Data Analytics)

While both roles involve working with data in cloud environments, a Cloud Data Warehouse focuses on managing and optimizing cloud storage solutions, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that enable data analysis and reporting. They often collaborate but have distinct responsibilities within data ecosystems.

What are the key skills and qualifications needed to thrive as a Cloud Data Warehouse Engineer, and why are they important?

To thrive as a Cloud Data Warehouse Engineer, you need expertise in data modeling, SQL, cloud platforms (such as AWS, Azure, or Google Cloud), and ETL processes, typically supported by a degree in computer science or a related field. Familiarity with tools like Snowflake, Redshift, BigQuery, data integration platforms, and relevant certifications (e.g., AWS Certified Data Analytics) is often required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating with stakeholders and managing complex data solutions. These skills ensure the efficient design, implementation, and maintenance of scalable cloud data warehouses that support business intelligence and decision-making.

What is a cloud data warehouse?

A cloud data warehouse is a scalable storage and processing system hosted on cloud platforms that allows organizations to store, analyze, and manage large volumes of data. Data analysts and data engineers often use tools like SQL and cloud services such as Amazon Redshift, Google BigQuery, or Snowflake to perform data integration and querying tasks efficiently.

What is L1 L2 L3 data warehouse?

In the context of a cloud data warehouse, L1, L2, and L3 typically refer to different levels of data processing or storage layers. L1 often represents raw or foundational data, L2 involves transformed or cleaned data, and L3 includes aggregated or analyzed data for reporting. Understanding these levels helps data engineers and analysts manage data workflows effectively within cloud environments.

What are some common challenges faced by professionals working in Cloud Data Warehouse roles, and how can they be addressed?

Professionals in Cloud Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data security and compliance, and optimizing query performance as data volumes scale. Addressing these challenges typically involves collaborating with data engineering, security, and DevOps teams to design robust data pipelines, implement access controls, and monitor system performance. Staying current with evolving cloud technologies and best practices is essential for maintaining efficiency and reliability in these environments.
More about Cloud Data Warehouse jobs
Infographic showing various Cloud Data Warehouse job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 78% Full Time, 11% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.
Data Warehouse Analyst Seniors: Cloud Engineering

Data Warehouse Analyst Seniors: Cloud Engineering

Worldpay, Inc.

Jacksonville, FL • On-site

Full-time

Posted yesterday


Job description

Job Description

FIS Management Services, LLC seeks Data Warehouse Analyst Seniors: Cloud Engineering in Jacksonville, FL to architect, develop, and sustain comprehensive data warehouse systems and their corresponding data marts using cloud-based solutions. Engineer and implement advanced data extraction, transformation, and loading (ETL) processes in a cloud-agnostic platform. Conduct thorough analysis and translation of business requirements into sophisticated, long-term data models. Oversee and ensure the optimal performance and reliability of cloud-based data warehouse operations. Collaborate extensively with data architects, reporting teams, and various business units to ensure alignment of data solutions with organizational objectives. Rigorously test cloud data warehouse systems and perform necessary upgrades to maintain system efficacy. Generate detailed data reports, visualizations, and dashboards to support business decision-making. Enhance data reliability, efficiency, and quality through continuous process improvements and robust data governance practices in the cloud. Design and implement robust database solutions and models to meet organizational needs. Evaluate database implementation procedures to ensure adherence to internal and external regulatory standards. Prepare comprehensive database design and architecture reports for management and executive review. Ensure the accuracy and integrity of data loaded into the cloud data warehouse. Assist in the development, maintenance, troubleshooting and support of the enterprise's cloud data warehouse system and related data marts. Innovate and develop new or enhanced components for the data warehouse system. Develop and enforce data security policies and procedures to ensure compliance with regulatory requirements. Implement and maintain security measures to protect data warehouse systems from unauthorized access and breaches. Ensure data encryption and secure data transmission methods are in place to protect sensitive information in the cloud. Manage the distribution of data across various cloud platforms and systems to ensure efficient data flow and accessibility. Develop and implement strategies for data distribution in the cloud to optimize performance and minimize latency.

REQUIREMENTS: Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering or related field and seven (7) years of progressively responsible experience in the job offered or a related occupation: utilizing Databricks for data engineering, analytics, and machine learning tasks, including

proficiency in setting up and managing Unity Catalog for data discovery, classification, and lineage tracking; working with Python scripting skills with libraries including PySpark, Pandas, NumPy, and Scikit-learn for data manipulation and analysis; leveraging BigID for compliance with regulations (GDPR, PII, PCI) and implementing data governance frameworks; managing and supporting API platform infrastructure both on-premises and in the cloud, including installation, configuration, upgrades, troubleshooting issues, and API script development for pipeline support on Azure APIM and WSO2 platforms; identifying, analyzing, and mitigating security vulnerabilities in data products using CheckMarx and Blackduck; working with CI/CD tools including Jenkins for automation, Git/Bitbucket for version control, and Harness for continuous delivery; utilizing containerization Docker/AKS/EKS technologies for creating, deploying, and managing containers; and working with Azure cloud services including Azure Storage, Azure Data Factory, Data Lake Storage, Azure Logic Apps, Azure Functions, Web Apps, Key Vaults, and Azure Containers. Telecommuting and/or working from home may be permissible pursuant to company policies.

QUALIFIED APPLICANTS: Please apply directly through our website by clicking on "Apply Now."


Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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