DATA WAREHOUSE ARCHITECT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 11, 2024 – The Data Warehouse Architect excels in SQL, stored procedures, and database administration, with hands-on experience in ETL tools like Fivetran and Matillion. Expertise in cloud data warehouses such as Snowflake, Redshift, and BigQuery, combined with knowledge of APIs and diverse data formats, facilitates effective data transformation. This role necessitates strong communication between technical and business teams, the ability to prioritize requests, and a self-driven approach to managing projects with keen attention to detail.

Essential Hard and Soft Skills for a Standout Data Warehouse Architect Resume
  • SQL
  • ETL Tools
  • Data Modeling
  • Database Design
  • Data Warehousing Concepts
  • Cloud Computing
  • Big Data Technologies
  • Performance Tuning
  • Data Governance
  • Business Intelligence Tools
  • Analytical Thinking
  • Problem-Solving
  • Communication
  • Collaboration
  • Attention to Detail
  • Adaptability
  • Leadership
  • Time Management
  • Critical Thinking
  • Project Management

Summary of Data Warehouse Architect Knowledge and Qualifications on Resume

1. BS in Information Systems with 9 years of Experience

  • Experience in the medical field and administrative record management
  • Experience in Information Technology and Software Development (SDLC) processes
  • Experience in Data Warehouse development and implementation
  • Demonstrate ETL expertise and BI reporting experience
  • Experience in data modeling, developing multi-dimensional data models, and data process flows
  • Experience in database design and implementation using Oracle, DB2 or other enterprise database
  • Experience in Healthcare industry systems and applications
  • Experience in Java, Python, R or other Analytics programming languages
  • Effectively communicate in English, both orally and written
  • Maintain confidentiality, discretion, and caution when handling sensitive information
  • Multi-task along with attention to detail

2. BS in Data Science with 5 years of Experience

  • Experience in large corporate systems environments working with large and complex data warehouse systems.
  • Hands-on experience working with AWS Redshift and Glue
  • Experience in writing complex ETL packages.
  • Hands-on experience in database and SQL performance tuning.
  • Extensive hands-on technical knowledge of Data Warehouse Architecture, ETL, Oracle & SQL Server databases.
  • Excellent Project Management skills with problem-solving skills
  • Must be patient, strong customer service skills
  • Multi-tasking ability with time management skills
  • Strong interpersonal communication skills
  • The ability to work independently and as part of a team

3. BS in Software Engineering with 7 years of Experience

  • Have a Finance or Banking background with AWS Certifications
  • Experience using Microsoft’s SQL Server, SSIS, SSAS, SSRS (Reporting Services), and OLAP services.
  • Ability to quickly identify and troubleshoot problematic faults in data pipelines and infrastructure.
  • Advanced expertise in designing data warehouse architecture, data marts, and/or databases to suit business needs.
  • Advanced knowledge of data mapping, data integration, database design and data warehouse concepts.
  • Advanced SQL Query, ETL/ELT/LET and Data Architecture experience.
  • Advanced Expertise with AWS services such as EC2, Amazon Redshift, S3 and Matillion.
  • Knowledge of SageMaker, Glue, Lambda, API Gateway and Comprehend
  • Strong communication skills and ability to translate business needs into technical requirements.
  • Strong documentation and technical writing skills.

4. BS in Computer Science with 8 years of Experience

  • Experience in Informatica tools and with a focus on performance tuning
  • Experience in Informatica PowerCenter, Big Data Edition, PowerExchange (CDC), Informatica Data Quality (IDQ)
  • The ability to create complex parallel loads and dependency creation using workflows
  • Data modeling and data mapping design experience
  • Experience in PL/SQL and conversion of PL/SQL into Informatica
  • Working experience in data lake development including Cloudera
  • Experience in reporting and analytics i.e. BusinessObjects, QlikView, Tableau
  • Ability to interpret requests and requirements to build appropriate automated solutions.
  • Ability to work with shifting deadlines in a fast-paced environment.
  • Strong computer skills including Microsoft Office (Visio, Excel, Word, & Outlook).
  • Strong attention to detail, interpersonal skills, and notation skills.

5. BS in Data Science with 4 years of Experience

  • Proven history designing and developing large data solutions.
  • Strong experience guiding teams for software product companies
  • Strong experience with Snowflake, Oracle, ETL and Reporting Tools
  • Knowledgeable in multiple data management disciplines such as Data governance, data modeling, relational database technologies, data warehousing, ETL, business intelligence and analytics.
  • Strong experience in driving digital and automation transformation to drive efficiencies and scalability
  • Strong organizational and communication skills with the ability to multi-task.
  • Ability to effectively manage multiple work assignments and projects and motivate in a team-oriented, collaborative environment.
  • Ability to work well individually and within a cross-functional team
  • Excellent communication, analytic and problem-solving skills
  • Sound business acumen and executive presence.

6. BS in Computer Science with 6 years of Experience

  • Experience managing and developing complex ETL, data integration and data warehousing solutions within predominantly MS-BI environments
  • Highly experienced with SQL Server, SSIS/SSRS/SSAS
  • Experience with Azure Cloud Data Warehouse/Azure Synapse, Azure Data Factory, Azure Analysis Services, Power BI
  • Able to develop, manage, and maintain ETL frameworks, data modeling and analysis using Kimball dimensional modeling methodology
  • Experience with database design using MSSQL, implementing data solutions, developing complex Stored Procedures, Functions, User-defined Functions and Views
  • Experience/interest in AI/ML approaches to data analysis
  • Strong communication and teamwork skills
  • Desire and ability to learn emerging technologies and methodologies.
  • Self-motivated, organized with time-management, and deductive problem-solving skills
  • Ability to work both individually and collaboratively and enjoy taking ownership of a project

7. BS in Information Systems with 5 years of Experience

  • Experience with NoSQL, Visualization and reporting tools (Power BI, Amazon QuickInsights, SageMaker), data profiling analysis and transformation
  • Experience in Cloud Data technologies, solutions and future Cloud Data Strategies.
  • An understanding of how to build a data model that underpins Machine Learning, Natural Language Processing and automated translation engines
  • Be a self-starter who is self-sufficient with a cost-conscious way of working
  • Have a point of view speak to data architectures with authority and back it up with detailed technical knowledge and experience. 
  • Experience transforming and mapping business and/or user requirements to logical data requirements for 360 views of customer data to drive value (customer/member personalization).
  • Experience with different IT delivery approaches (Agile, Kanban, Scrum).
  • Strong interpersonal skills, with a demonstrated ability to make effective decisions while working through complex issues
  • Must be able to utilize and effectively communicate functional and technical components of an initiative to applicable parties both verbally and through documentation.
  • Attention to detail, good analytical and problem-solving skills, and critical thinking

8. BS in Information Technology with 9 years of Experience

  • Relevant experience in the capacity of Data Architect
  • Extensive experience leading Information/data architecture methodologies, data warehousing principles and frameworks across an organization
  • Must be detail and process-oriented and possess a collaborative working style and the ability to work both independently and in a team environment
  • Experience working in Agile Development, AWS Cloud environment and Microsoft Azure
  • Strong experience with Data Warehouse and database schema designs with strong experience integrating Cloud CRM systems
  • Strong knowledge of data modeling warehousing and ETL methodology making use of cloud-based technologies
  • Experience creating conceptual, logical, and physical data modeling with Data modeling tools such as the Erwin data model.
  • Strong experience in building modern data solutions in cloud technologies such as data lake including - Power BI Service and AWS/Microsoft Azure.
  • Strong knowledge of Data Management including Structured and Unstructured Data Processing - data ingestion/transformation of various formats using Integration Tools
  • Experience in data quality identification and implementing data governance principles in an enterprise data environment. 
  • Strong understanding of activities within primary disciplines such as Master Data Management (MDM), Customer Data Management (CDM), Metadata Management and Data Governance (DG).

9. BS in Statistics with 7 years of Experience

  • Broad experience with data requirements, data modeling concepts, data integration, master data management, metadata management, enterprise data warehousing (EDW) and business intelligence/analytics, tools, protocols and practices.
  • Demonstrate the ability to produce high-quality technical documentation.
  • Strong knowledge of systems development and project management Agile methodologies/processes.
  • Experience with one or more relational databases such as DB2, Teradata, SQL Server, etc. and NOSQL databases
  • Familiarity with ETL/Data Quality tools such as IBM’s Data Stage/Quality Stage, Informatica Power Center, etc.
  • Familiarity with reporting/ad-hoc analysis tools such as MicroStrategy, Cognos, Business Objects, Tableau, etc.
  • Familiarity with customer identification and address standardization processes and tools such as Unica, etc.
  • Experience with one or more data modeling tools such as Erwin, Embarcadaro, etc.
  • Familiarity with one or more statistical modeling tools by SPSS or SAS, etc.
  • Familiarity with Big Data concepts, tools, utilities, protocols, and practices
  • Familiarity with Cloud Computing architectures, protocols, and practices

10. BS in Data Engineering with 4 years of Experience

  • Advanced SQL query writing experience
  • Hands-on experience in relational and multi-dimensional data modeling, including multiple source systems from databases and flat file
  • Experience implementing complex stored procedures and standard DWH and ETL concepts
  • Knowledge of developing dimensional data models and awareness of the advantages and limitations of Star Schema and Snowflake schema designs
  • Understanding of Kimball Data Warehousing design principles
  • Knowledge of Python, GitHub, and Airflow
  • Build/Design data pipeline using Python/Snowflake/Airflow
  • Experience implementing data quality initiatives such as test harnesses, monitoring, and auditing features on data
  • Experience with AWS data storage and management technologies such as S3
  • Essential SAFe working experience

11. BS in Information Science with 5 years of Experience

  • Experience with data warehousing and business intelligence and/or large and complex database management systems.
  • Strong relational and dimensional data modeling and database design skills.
  • Hands-on working experience using ETL tools
  • Strong database schema design experience
  • Working knowledge of data warehouse approaches and development.
  • Customer-oriented with excellent interpersonal communication skills.
  • Highly effective analytical, decision-making, and written/verbal communication skills.
  • Ability to investigate complex business problems, develop effective recommendations, negotiate and/or present solutions, and resolve problems in a highly professional and tactful manner.
  • Highly organized and able to set priorities effectively.
  • Experience developing data warehouses using AWS cloud-based ETL, storage, and analytic services, Athena, Glue, RDS, RedShift, etc.

12. BS in Artificial Intelligence with 7 years of Experience

  • Mastery of SQL, stored procedures, tables, views, and database administration
  • Experience with ETL tools like Fivetran, Matillion, etc.
  • Experience with cloud data warehouse solutions like Snowflake, Redshift, BigQuery, etc.
  • Experience with SQL development frameworks like dbt, etc.
  • Familiarity with SOAP/REST APIs, flat files (JSON, XML, CSV, Parquet, etc.) and transforming data for ingestion into the data warehouse
  • Experience monitoring data warehouse processes and troubleshooting issues
  • Familiarity with CRM and ERP applications and their underlying data structures including Salesforce, NetSuite, Marketo, and Workday.
  • Ability to translate between technical language and business language, serve as an interface between the business and the data we provide
  • Ability to prioritize incoming requests and communicate well with stakeholders
  • Self-motivated and able to manage one’s work to get projects over the finish line
  • Have a keen eye for details with problem-solving skills
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