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Data Mart Jobs (NOW HIRING)

Senior Data Warehouse Analyst

Olympia, WA

$92K - $116K/yr

Provide technical assistance to staff in writing complex data-mart queries, based on the detailed knowledge gained during the construction of ETL routines. The outcome of this task shall be the ...

Data Modeler (W2)

San Antonio, TX

$49.50 - $64/hr

Company Description US IT Solutions. Required Skills - PLEASE INDICATE YEARS OF EXP BY EACH Data Models - Experienced in Data Mart (Star Shema Structures) and Warehouse Data Model designs (Normalized ...

Data Architect

Waukegan, IL

$60.50 - $78/hr

Experience working in Biopharmaceutical industry (regulatory affairs) Experience with Data Warehouse and Data Mart Design Additional Information Multiple Openings for OPT/CPT/H4/L2/EAD/Citizen'

Data Architect

Sacramento, CA · On-site

$68 - $87.50/hr

Minimum 7+ years of experience in data modeling, including conceptual, logical, physical, warehouse, and data mart models. Experience working with stakeholders to define user and data requirements ...

Sr. Data Architect

Portsmouth, NH

$68.50 - $91.75/hr

Physical and dimensional data modeling, process modeling and data mart / warehouse design Oracle database concepts including performance optimization strategies Experience using Oracle Change Data ...

This position should also be an expert at SQL, working on 3NF, various data mart forms, etc. This person should be capable of being a part of various workgroups, gathering business requirements ...

Data Modeler

Sacramento, CA · On-site

$50.75 - $65.75/hr

... data mart. Three (3) years of demonstrated experience in managing technical project deliverables. Two (2) years of demonstrated experience with Python, SQL and PowerBI. Two (2) work experiences of ...

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Data Mart information

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$46K

$165K

$243.5K

How much do data mart jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data mart in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Mart Developer, and why are they important?

To succeed as a Data Mart Developer, you need a strong background in database design, data warehousing concepts, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), data modeling software, and experience with platforms like Microsoft SQL Server or Oracle are typically required. Attention to detail, problem-solving skills, and effective communication help ensure that business requirements are accurately translated into robust data solutions. These skills are vital to deliver reliable, scalable data marts that support organizational analytics and decision-making.

What are some common challenges faced by professionals managing Data Marts, and how can they be addressed?

Professionals managing Data Marts often encounter challenges such as ensuring data consistency across multiple sources, optimizing query performance, and maintaining data security. Addressing these challenges typically involves implementing robust ETL (Extract, Transform, Load) processes, regularly monitoring and tuning database performance, and establishing clear data governance policies. Collaborating closely with data engineers, business analysts, and IT security teams is essential for maintaining the reliability and integrity of the Data Mart environment.

What is a Data Mart?

A Data Mart is a specialized subset of a data warehouse, designed to focus on a specific business area, department, or function within an organization, such as sales, finance, or marketing. It stores relevant data that is extracted, transformed, and loaded from various sources to facilitate targeted analysis and reporting. Data Marts help users access critical information quickly and make better business decisions by providing a simplified and more focused view of data compared to a full-scale data warehouse.

What is the difference between Data Mart vs Data Analyst?

AspectData MartData Analyst
Primary RoleStores and manages specific data subsets for quick accessAnalyzes data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data warehousingData analysis, SQL, Excel, visualization tools
Work EnvironmentData warehouses, business intelligence systemsOffice, data analysis tools, reporting platforms
Industry UsageIT, Business Intelligence, Data ManagementBusiness, Marketing, Finance, IT

While a Data Mart focuses on storing and organizing data for quick retrieval, a Data Analyst interprets this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Data Mart jobs
What states have the most Data Mart jobs? States with the most job openings for Data Mart jobs include:
What job categories do people searching Data Mart jobs look for? The top searched job categories for Data Mart jobs are:
Infographic showing various Data Mart job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Finance Data Mart - Domain Data Architect

Finance Data Mart - Domain Data Architect

JPMorgan Chase & Co.

Wilmington, DE • On-site

$61.75 - $79.50/hr

Full-time

Medical, Retirement

Posted 14 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Description
As part of our team, you'll help modernize our data environment and unlock new opportunities for career growth and skill development.
As a Domain Data Architect Lead, within the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks and enable the Finance function to access and analyze essential data, supporting business needs across banking, wealth management, credit cards, auto lending, and home lending.
You will work within a dynamic, cross-functional team, contributing to the transformation of our data architecture and integration processes. Your expertise will help ensure our data solutions remain robust, scalable, and aligned with industry best practices, supporting the analytical and reporting needs of the Finance organization.
Job Responsibilities:
  • Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting
  • Design efficient data mart schemas consolidating key data categories from multiple source systems
  • Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements
  • Develop and optimize ETL processes and data pipelines using Databricks
  • Partner with Area Product teams and stakeholders to design reporting and analytics solutions and support the Finance function across diverse business areas
  • Apply design-led thinking to make data discoverable and accessible for analytical needs
  • Maintain documentation on data mart architecture, data models, ETL processes, and governance policies
Required Qualifications, Capabilities, and Skills:
  • Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services
  • Bachelor's degree in Computer Science, Information Systems, or related discipline
  • Expertise in designing scalable data mart architectures, including star and snowflake schemas
  • Strong knowledge of data management, data lineage, and data dictionaries
  • Proven track record in managing and delivering complex data projects
  • Strong written and verbal communication skills
  • Proficiency in SQL, Data Modeling, and ERWIN
Preferred Qualifications, Capabilities, and Skills:
  • Strong knowledge of Amazon Web Services; AWS Certifications preferred
  • Experience with Databricks, Snowflake, or other cloud data warehouses
  • Experience with market-leading data catalog systems
  • Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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