ZipRecruiter

Log In

1

Bank Data Warehousing Jobs (NOW HIRING)

Siritech Solutions Corp

Data Modeler Engineer

Raleigh, NC

$53.25 - $69/hr

... Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS ...

Siritech Solutions Corp

Data Modeler Engineer

Atlanta, GA

$52.75 - $68.25/hr

... Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS ...

Siritech Solutions Corp

Data Modeler Engineer

Charlotte, NC

$53.50 - $69.25/hr

... Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS ...

Sarian, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... data warehousing projects. * Tech stacks includes PySpark, Teradata, Python, autosys, SQL. * Should be able to provide solutions and implement quickly. * Good to have SAS. * Good to have Banking ...

AS TRADE LLC

DATA ENGINEER

Manhattan, NY

$126K - $151K/yr

... warehouse and data mart activities for banking analytics and reporting Collaborate with BI, reporting, and analytics teams to support dashboard and regulatory reporting needs Assist with batch ...

S Linx LLC

Data Modeler

North Brunswick, NJ · On-site

$58 - $75.25/hr

... data warehousing and ETL processes • Maintain documentation and version control of models ... By default look for banking domain candidates Skills to look for in candidates resume : Erwin ...

Workila

Data Governance SME

Kansas City, KS

... Banking and Regulatory reporting like Basel, Dodd-Frank etc. Expertise in Enterprise Data Modeling (Conceptual & Logical & Physical Data Models) Experience in Data Warehouse/Data Marts Modeling ...

Stem Xpert

Data architect

Lansing, MI

$64.75 - $83.25/hr

... Banking, Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

next page

Showing results 1-20

All JobsBank Data Warehousing Jobs

Bank Data Warehousing information

What are Bank Data Warehousing jobs?

Bank Data Warehousing jobs involve designing, building, and maintaining data warehouses for financial institutions. Professionals in these roles manage the storage, integration, and retrieval of large volumes of banking data to support business intelligence, reporting, and regulatory compliance. They frequently work with tools like SQL, ETL (Extract, Transform, Load) processes, and data modeling techniques. These roles are critical in helping banks make data-driven decisions and maintain data accuracy and security.

What are some common challenges faced by professionals working in bank data warehousing, and how can they be addressed?

Professionals in bank data warehousing often encounter challenges such as integrating data from multiple legacy systems, ensuring data accuracy and consistency, and maintaining compliance with strict regulatory requirements. To address these, teams typically implement robust ETL (Extract, Transform, Load) processes, utilize data quality management tools, and collaborate closely with compliance and IT departments. Staying updated with the latest industry practices and participating in cross-functional meetings also helps in overcoming these challenges and ensuring the success of data warehousing projects.

What is the difference between Bank Data Warehousing vs Bank Data Analysts?

AspectBank Data WarehousingBank Data Analysts
Primary FocusDesigning, developing, and managing data storage systems for banking dataAnalyzing banking data to generate insights and support decision-making
Skills & CertificationsDatabase management, ETL processes, SQL, data modelingData analysis, statistical skills, SQL, reporting tools
Work EnvironmentData warehouses, IT departments, technical teamsBusiness units, analytics teams, reporting environments
Industry UsageBuilding infrastructure for banking data storageInterpreting data to inform banking strategies

Bank Data Warehousing involves creating and maintaining the infrastructure for storing banking data, focusing on data architecture and management. In contrast, Bank Data Analysts interpret this data to provide actionable insights. Both roles require strong SQL skills, but their core responsibilities differ significantly, with warehousing centered on data infrastructure and analysis on data interpretation.

What are the key skills and qualifications needed to thrive in Bank Data Warehousing, and why are they important?

To thrive in Bank Data Warehousing, you need expertise in data modeling, ETL (Extract, Transform, Load) processes, and a solid understanding of banking data, usually backed by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Oracle, Informatica, and data warehousing solutions like Teradata or Microsoft SQL Server, along with relevant certifications, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills ensure efficient, secure, and compliant management of critical financial data, supporting business decision-making and regulatory requirements.
What cities are hiring for Bank Data Warehousing jobs? Cities with the most Bank Data Warehousing job openings:
What states have the most Bank Data Warehousing jobs? States with the most job openings for Bank Data Warehousing jobs include:
Bank Data Warehousing jobs near you
Infographic showing various Bank Data Warehousing job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Data Modeler Engineer

Siritech Solutions Corp

Raleigh, NC

$53.25 - $69/hr

Full-time

Posted 21 days ago

Job description

Total Required Experience in Years: Minimum 810+ Years


Mode of Work: Onsite (No Remote)


Job Description:Seeking an experienced Data Modeler Engineer to design and implement enterprise-grade data models supporting large-scale Snowflake and Data Warehouse modernization initiatives within a banking environment. The ideal candidate should possess strong expertise in data modeling, Snowflake architecture, SQL, ETL concepts, ER modeling, SAS data analysis understanding, and enterprise data warehousing. This role requires hands-on experience designing logical and physical data models, supporting Snowflake architecture, building scalable enterprise data warehouse schemas, optimizing data structures for performance, and ensuring data quality, governance, and metadata management while aligning technical solutions with business requirements.


Key Responsibilities:

  • Design and implement enterprise logical and physical data models for scalable data platforms
  • Define enterprise data modeling standards, structures, and best practices supporting Snowflake environments
  • Conduct impact analysis and ensure model alignment with business and reporting requirements
  • Engineer conceptual, logical, and physical ER models for enterprise-grade data platforms
  • Design high-performance data warehouse schemas including Star and Snowflake schemas for analytics optimization
  • Develop and optimize Fact and Dimension tables supporting reporting and BI workloads
  • Apply dimensional modeling techniques including Kimball methodology and Data Vault 2.0 architecture
  • Support Snowflake data modeling, clustering, query optimization, and performance tuning activities
  • Utilize advanced SQL for data transformation, validation, and query optimization
  • Collaborate with ETL teams to design scalable and efficient enterprise data pipelines
  • Ensure enterprise data integrity, governance, metadata management, and data quality standards
  • Translate business requirements into scalable, future-ready enterprise data models
  • Design end-to-end Data Warehouse architecture across staging, core, and presentation/BI layers


Additional Responsibilities:

  • Support enterprise modernization and data warehouse optimization initiatives
  • Collaborate with business teams, architects, ETL developers, and stakeholders on enterprise data strategies
  • Maintain enterprise modeling documentation, standards, and governance practices
  • Support performance tuning and scalable data platform improvements
  • Ensure alignment between business needs, enterprise architecture, and reporting requirements


Required Skills:

  • Strong expertise in enterprise data modeling and ER modeling concepts
  • Strong Snowflake experience including architecture, clustering, and performance tuning
  • Advanced SQL skills supporting transformations, validations, and query optimization
  • Strong understanding of SAS for data analysis and business logic interpretation
  • Experience with ETL concepts, Data Warehousing, and scalable data pipeline design
  • Experience designing Star and Snowflake schemas for reporting and analytics workloads
  • Expertise in Dimensional Modeling (Kimball) and Data Vault 2.0 methodologies
  • Strong experience developing Fact and Dimension tables for enterprise reporting systems
  • Experience supporting enterprise data governance, integrity, and metadata management


Qualifications:

  • Minimum 810+ years of strong hands-on Data Modeling and Data Warehouse experience required
  • Experience supporting Snowflake modernization and enterprise analytics initiatives preferred
  • Strong enterprise architecture, performance optimization, and stakeholder collaboration experience preferred
  • Experience translating business requirements into scalable enterprise data solutions preferred