• Leads the architectural design, development, and maintenance of complex, enterprise-wide data warehousing systems.
• Ensures consistency, timeliness, data quality and integrity, security, and availability of enterprise data warehouse.
• Conducts installation, configuration, and tuning in Microsoft Azure Data Factory & Synapse Workspace.
• Develops and maintains data warehousing architecture roadmap and strategy.
• Translates client user requirements into technical architecture vision and implementation plan.
• Designs data warehouse data storage strategies/techniques in Microsoft Azure.
• Translate business requirements into data models that are easy to understand and used by different disciplines across the company
• Design, implement and build pipelines that deliver data to stakeholders in the organization
• Develop both physical and logical data models.
• Prepare designs for database systems and recommend improvements for performance.
• Perform troubleshooting on all ETL processes and resolve issues effectively.
• Design and Architect a Data Warehouse and necessary components on the Microsoft/Azure Platform.
• Design and development of Extract-Transform-Load (ETL) processes for data warehouses, gathering requirements, and designing databases.

Skills: Data Warehouse Architecture, Data Quality Management, Azure Data Factory Configuration, Data Architecture Strategy, Business Requirements Translation, Azure Data Storage Design, ETL Design & Troubleshooting, Data Modeling

• Plan, create, coordinate, and deploy data warehouse and business intelligence solutions.
• Follow best practices for data creating and managing the data extraction, transformation and loading (ETL) framework.
• Develop data architecture, data modeling, and ETL mapping solutions.
• Understand, recommend and support robust reporting and analytic architectures.
• Develop unique, simple solutions to meet the immediate and long-term needs of information customers and stakeholders.
• Design and build Data Warehouse structures (databases and SSAS cubes).
• Support the development and validation required throughout the entire lifecycle of the data warehousing and business intelligence systems.
• Maintain user connectivity, and provide adequate security for the data warehouse.
• Ensure shared reports follow HIPAA-compliant processes.
• Take responsibility for summarizing data and drafting reports.
• Monitor the data warehouse and business intelligence system performance and integrity, and provide corrective and preventative maintenance
• Support the data warehouse technical ecosystem, including SharePoint for the delivery of reporting and analytic applications.

Skills: Data Warehouse Dev, ETL Management, Data Architecture, Reporting Architecture, SSAS Development, HIPAA Compliance, Performance Monitoring, SharePoint Integration

• Analyze requirements and designs effective BI and Data Warehouse solutions to meet business needs.
• Designs, develops and facilitates implementation of BI standards and policies within the development team and throughout the organization.
• Design and develop conceptual, logical and physical data models.
• Recommend/select data warehouse technologies and architecture.
• Coordinate with the rest of the IT group and business users in selecting the appropriate BI tool(s) for each requirement.
• Works with business analysts to ensure a tight fit between the BI environment and business requirements.
• Manage and work with BI developers to build standard development processes and reusable components.
• Architect and develop BI reports and solutions using best practices.
• Architect and develop ETL (Extract Transform and Load) to load into the Data Warehouse system.
• Advocate for the continuous improvement of the standards and best practices within the area of Business Intelligence and reporting.
• Troubleshoots BI tool problems and tunes for performance.
• Supports development and management of BI training, documentation, and help desk capabilities

Skills: BI Solution Analysis, BI Standards Development, Data Modeling, Data Warehouse Architecture, BI Tool Coordination, BI Requirement Alignment, ETL Development, BI Training and Support

• Apply data warehouse modeling methodologies to design and develop appropriate warehouse data staging, integration and reporting structures that would provide scalable and efficient reporting and analytics solutions
• Assist in defining software development project plans, including scoping, scheduling, providing time estimates for programming tasks and implementation plans and schedules
• Interpret advanced SQL, develop and implement SQL, stored procedures and functions for the solution
• Use programming languages, develop and implement programs, scripts and schedules for the solution
• Design and code ETL and data warehouse software, including correcting bugs or defects
• Design, develop, test, implement and document ETL solutions to incrementally load the data warehouse and other enterprise applications and systems
• Design, integrate, and migrate data from multiple sources, including logical, physical, and dimensional models
• Guide and deliver technical design, implementation, and quality assurance for data warehouse projects
• Maintain current awareness of technological developments and trends as they relate to databases, development methodologies and tools, especially in the BI, data warehousing and ETL space
• Support and assist the Business Intelligence Team engineers by providing technical instruction and direction in the use of new ETL and Database technologies
• Understand business intelligence needs and reporting requirements to ensure system compatibility
• Work closely and collaborate with various cross-functional IT specialists and business subject matter experts in implementing solutions and validating results with business representatives

Skills: Data Warehouse Modeling, Project Planning, Advanced SQL Development, Programming Languages, ETL Design and Coding, Data Integration, Technical Design and QA, Business Intelligence Collaboration

• Support the current data warehouse with all existing processes and integrations/ETL, OLAP, and tools for reporting including Power BI
• Lead and manage as the sole member of the team in the near term and provide support, additional reporting, and Power BI expertise for the organization.
• In collaboration with the Rinnai Business Analyst and the Director of Enterprise Applications, translates business requirements into technical specifications
• In alignment with the Digital Strategy, defines the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees.
• Collaborate and support business partners and other team members for enhancements and smaller development efforts.
• Apply corporate IT standards across all phases of work product.
• Build and deliver reports to specification, schedule, and plan.
• Guide business partners in the testing of reports and dashboards.
• Build and deliver the enterprise data model, skilled in data modeling.
• Lead the data warehouse strategic plan in collaboration with the Director, Enterprise Applications, and other team members to develop a design for the future state of business intelligence.

Skills: Data Warehouse Support, Power BI, Requirements Translation, Data Architecture, IT Standards, Report Development, Data Modeling, BI Strategic Planning

• Experience with Data Warehousing methodologies and concepts (Kimball)
• Extensive experience with BI/DW lifecycle including source data analysis, ETL, data marts, reporting, dashboards, and analytics
• Experience working with MS SQL Server database. 
• Mastery of SQL, specifically MS SQL Server 2012 and higher.
• Experience developing ETL processes with large-scale data warehouses
• Experience with Microsoft BI stack (SSIS, SSRS and SSAS)
• Experience working in DevOps, automating, and deploying packages between different environments
• Experience with Azure SQL Database, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse Analytics, and related Azure services
• Experience with NoSQL data (JSON, etc.)
• The ability to communicate complex information clearly and concisely.
• Able to work independently and also to collaborate across the organization.

Qualifications: BS in Information Systems with 10 years of Experience

• Experience as a Data Warehouse architect and ETL developer.
• Experience with the Microsoft Data Warehousing and Business Intelligence stack (SQL Server, SSIS, SSRS, SSAS, PowerPivot, Power BI, SharePoint).
• Experience with data analysis and data profiling using SQL and other tools.
• Data modeling experience, and knowledge of 3NF, Star-Schema and other data warehousing modeling techniques.
• Ability to communicate information, concisely, and effectively both orally and in writing.
• Experience with BI reporting tools (Cognos)
• Comfortable working in a collaborative, team-centric environment.
• Comfortable with ambiguity, and changes in priority
• Ability to work well with a wide variety of people with varying technical skill sets and business knowledge.
• Experience in complex, cross-departmental projects involving multiple platforms.

Qualifications: BS in Data Science with 5 years of Experience

• Strong SQL Server Database knowledge and experience
• Strong knowledge and experience in MS BI stacks (SSIS, SSAS, and SSRS)
• Experience working with MS MDS (Master Data Services)
• Experience in Azure cloud environment (ADF, ADLS, Analysis Services, and Azure SQL)
• Experience in BI Tools (Power BI, Tableau, Looker)
• Experience with OLAP Cubes (Multi-Dimensional, TABULAR and Azure Analysis Services)
• Strong knowledge of ADO (Azure DevOps) and Project Management (Agile and Waterfall)
• Advanced Excel skills (Power Query, Power Pivot)
• Strong data analytical skills to handle significant amounts of information with details and accuracy
• Strong communication skills, both written and verbal, with documentation

Qualifications: BS in Database Management with 6 years of Experience

• A strong background in architecting and developing technical solutions for data warehouses and business intelligence. 
• Previous experience in the successful delivery of similar solutions
• Superior knowledge of Microsoft technology stack (SQL Server, SSIS, SSRS, SSAS, etc.).
• Hands-on experience with data modeling techniques. Experience in using data modeling tools.
• Able to develop highly complex dynamic ETL processes to import and export data in various formats (JSON, XML, CSV, etc.).
• Broad technical knowledge in application development or system engineering.
• Experience working with database programming.
• Previous experience with metadata solution development.
• Understanding systems and network considerations to develop data warehousing solutions.
• Experience in developing key strategy artifacts such as architecture diagrams, white papers, and proof of concepts.
• Understanding banking business processes and applications

Qualifications: BS in Computer Engineering with 8 years of Experience

• Experience in a similar role, in the life sciences industry
• Extensive experience implementing at least one of the following database technologies in support of a Data Warehouse – Snowflake, Redshift, Oracle, SQL Server, BigQuery, Teradata
• Extensive experience designing and developing data ETL processes using one of the following technologies – Informatica, Mulesoft, Boomi, Talend
• The ability to write and optimize complex SQL queries
• Experience implementing analytical solutions using data warehouses (e.g., Tableau, Power BI, Oracle Analytics Cloud)
• Familiarity with a variety of data sets – financials, sales, marketing, clinical
• Familiarity with Master Data Management processes
• Excellent organizational and analytical abilities
• Outstanding problem-solving skills
• Effective written and verbal communication skills
• Self-motivated, detail-oriented with excellent time/project management skills and creative problem-solving abilities

Qualifications: BS in Computer Science with 7 years of Experience