DATA WAREHOUSE ARCHITECT RESUME EXAMPLE
Updated: Feb 24, 2025 - The Data Warehouse Architect designs algorithms and models for mining large data stores while ensuring data accuracy through cleaning and validation. Analysis of EMR data involves defining requirements and using statistical software to identify trends that inform decision-making. The architect also provides technical support to customers, troubleshoots issues, and maintains documentation for all analyses while ensuring continuous access to diverse data sources.


Tips for Data Warehouse Architect Skills and Responsibilities on a Resume
1. Data Warehouse Architect, Innovative Solutions Group, Omaha, NE
Job Summary:
- Take the lead design and development of data warehouse architecture for a multi-tenant environment.
- Develop the design and architecture of data warehouse in MS Azure
- Optimize existing and new data pipelines.
- Analyze data interfaces and transfer them into the overall architecture of the data lakehouse.
- Establish standards, quality, stability and robustness along the entire ETL chain.
- Define bronze/silver/gold transformations and are responsible for building up a data catalog.
- Define Data warehouse Architecture
- Define Data Integration Architect, integrate, and migrate data from multiple sources, including logical, physical, and dimensional models
- Understand business intelligence needs and reporting requirements to ensure system compatibility
- Provide technical recommendations and engage with partners and other stakeholders throughout the requirements gathering and implementation lifecycle.
- Recommend effective solutions to develop high-performance and highly scalable data solutions.
- Provide expertise in data modeling, database design, data governance, or master data management, including the implementation of tools to support these areas.
Skills on Resume:
- Data Warehouse Design (Hard Skills)
- Azure Data Services (Hard Skills)
- ETL Optimization (Hard Skills)
- Data Lakehouse Integration (Hard Skills)
- Data Quality Standards (Hard Skills)
- BI and Reporting Analysis (Soft Skills)
- Stakeholder Engagement (Soft Skills)
- Data Governance (Hard Skills)
2. Data Warehouse Architect, TechSavvy Analytics, Austin, TX
Job Summary:
- Develop new ETL procedures to support the business needs.
- Address user concerns concerning data integrity.
- Support implemented BI Solutions by monitoring and tuning queries and existing ETLs.
- Work with Enterprise and Solutions architects to provide strategy and direction of applications, information, and technology in support of business strategy.
- Work out transition/migration plans from the current state.
- Create categorizing and classify information with well-defined structures, definitions, and context to facilitate consistent alignment of business processes with business requirements.
- Development of business glossaries with terminology definitions, standards associated with business rules, and data boundaries.
- Define canonical data models, data flows, etc.
- Work with business and Product Management stakeholders to ensure that project specifications are complete and understood by the Technology team and that the product produced meets all functional and non-functional specifications
- Represent Sovos to technical stakeholders within current and prospective customers
Skills on Resume:
- ETL Development (Hard Skills)
- Data Integrity Management (Hard Skills)
- BI Solutions Support (Hard Skills)
- Strategic IT Alignment (Soft Skills)
- Migration Planning (Hard Skills)
- Information Classification (Hard Skills)
- Business Glossary Development (Hard Skills)
- Canonical Data Modeling (Hard Skills)
3. Data Warehouse Architect, Quantum Data Systems, Raleigh, NC
Job Summary:
- Primarily responsible for the architecture, design, implementation and success of the data warehouse environment
- Lead the vendor selection process for the data warehouse solution
- Build and support data models that will be used across the organization
- Monitor the health, reliability and security of the data warehouse environment
- Enable business users to access data while ensuring a secure environment
- Work with data engineers to guide the development of ETL processes that move data between the various business applications and the warehouse
- Work with key stakeholders within the organization to develop requirements and implement solutions, including getting data loaded into the warehouse and developing data models
- Define standards for ETL processes, data structures, and data organization
- Document processes and procedures
- Evolve Global VAT line of business data strategy and vision to support product strategy and growth.
- Get involved and help build/deliver pieces of the entire data stack (from pipelines to analytics)
- Contribute to the establishment of data management strategies, principles, models, and standards.
- Coordinate proposed solutions with stakeholders from Security and Operations to ensure the smooth execution of a comprehensive solution that is secure and well-operated
Skills on Resume:
- Data Warehouse Architecture (Hard Skills)
- Vendor Selection (Soft Skills)
- Data Modeling (Hard Skills)
- Data Warehouse Monitoring (Hard Skills)
- User Access Management (Soft Skills)
- ETL Process Guidance (Hard Skills)
- Requirement Development (Soft Skills)
- Data Strategy Development (Hard Skills)
4. Data Warehouse Architect, NextGen Technologies, Orlando, FL
Job Summary:
- Establish a long-term strategic data architecture vision and data standards for enterprise systems.
- Lead the conception, design, development, and deployment of EDW data architecture and related data models and provide ongoing support.
- Design, develop, test, and maintain data warehouse ETL processes, and perform systems integration.
- Design, develop, and manage a set of data models to support Power BI and SSRS reports to maximize runtime efficiency and reduce complexity and redundancy.
- Perform ongoing evaluation of the organization's current data infrastructure to identify gaps and develop plans for integrating data from existing third-party systems.
- Establish processes for governing the identification, collection, and use of corporate metadata, and take steps to assure metadata accuracy and validity.
- Establish methods and procedures for tracking data quality, completeness, redundancy, compliance, and improvement.
- Assess and determine governance, stewardship, and frameworks for managing data across the enterprise.
- Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving.
- Recognize and identify potential areas where existing policies and procedures require change, or where new ones are needed.
- Formulate and maintain data models and policies and procedures for functional design.
- Provide technical recommendations to senior managers and technical staff in the development and implementation of databases or documentation.
- Research upgrades and new database technologies.
- Collaborate with project managers and business leaders for all projects involving enterprise data.
Skills on Resume:
- Data Architecture Vision (Hard Skills)
- EDW Data Design (Hard Skills)
- ETL Development (Hard Skills)
- Data Modeling for BI (Hard Skills)
- Data Infrastructure Evaluation (Hard Skills)
- Metadata Governance (Hard Skills)
- Data Quality Management (Hard Skills)
- Data Strategy and Planning (Hard Skills)
5. Data Warehouse Architect, Apex Data Solutions, Denver, CO
Job Summary:
- Lead in the design of the technical and information architecture for the enterprise data warehouse, including all information structures
- Focuses on enterprise-wide data modeling and database design
- Works with business stakeholders on contextual dimensions, facts, measures
- Creates logical and physical data models, mapping logical to physical
- Designs, develops, tests, monitors, manages and validates data warehouse activity, including data extraction, transformation, movement, loading, cleansing and updating processes
- Coordinates with other Data Warehouse IT stakeholders to ensure the overall health and performance of the data warehouse environment
- Works with end users to translate business questions and requirements into applications that employ the appropriate reporting tools
- Experience with Agile methodology, writing user stories and acceptance criteria, and grooming the backlog
- Assists in monitoring system performance, reliability, availability, and recoverability of the DW environment
- Assists in the evaluation, selection, testing, and optimization of BI/DW-related hardware and software products
- Document the data architecture and environment to maintain a current and accurate view of the larger data picture.
- Serve as an organizational data SME for data analysts, SQL developers, and other end users who access the EDW.
- Collaborate and engage with external IT solution partners to ensure the requirements of any outsourced work are fully understood, accurately and thoroughly developed, and delivered on time.
Skills on Resume:
- Architecture Design (Hard Skills)
- Data Modeling (Hard Skills)
- Data Mapping (Hard Skills)
- ETL Management (Hard Skills)
- Stakeholder Collaboration (Soft Skills)
- Agile Experience (Soft Skills)
- Performance Monitoring (Hard Skills)
- Data Documentation (Hard Skills)
6. Data Warehouse Architect, Synergy Data Group, Nashville, TN
Job Summary:
- Devise and utilize algorithms and models to mine big data stores
- Perform data and error analysis to clean, normalize and validate data for uniformity and accuracy.
- Analyze EMR data by defining data requirements, preparing data for processing by organizing information, checking for invalid and missing data, and adjusting and weighing the raw data.
- Process large amounts of data using statistical software and relational database software.
- Identify relationships and trends in data, as well as factors that may influence decision-making.
- Design, produce, analyze, and debug routine data reports for internal and external customers.
- Report results of statistical analyses in the form of graphs, charts, tables, and written reports using statistical, spreadsheet and/or word processing software.
- Provide technical support to customers including answering questions, troubleshooting problems and assisting in modification of program code.
- Develop documentation for all analyses to include storage documentation of all files (program code, data sets, output), thoroughly documenting program code and archiving data sets when not in use.
- Check program code for adherence to specifications and check output for correct results.
- Develop quantitative measures to assess program effectiveness (e.g., internal quality control measures.)
- Maintains completeness of the data warehouse by ensuring uninterrupted access to data from disparate data sources, including establishing access to new sources of data.
Skills on Resume:
- Algorithm Development (Hard Skills)
- Data Cleaning (Hard Skills)
- EMR Data Analysis (Hard Skills)
- Statistical Software Proficiency (Hard Skills)
- Trend Identification (Hard Skills)
- Data Reporting (Hard Skills)
- Technical Support (Soft Skills)
- Documentation Development (Hard Skills)