Data Warehouse ArchitectCandidate must be Local to MIHybrid

113517Data Warehouse Architect 3State of MI - DTMBCandidates MUST be local. Will need to be onsite starting day 1 for hybrid work schedule. Position: Data Warehouse Architect 3Location: Lansing, MI Interview Process: Virtual Interview via MS Teams video. Please use a laptop and be prepared to share a screen if asked. Use of headphones is strongly discouraged. A screenshot photo of the candidate will be required for any Teams interviews as well as a vendor present at the beginning of interview to validate the candidate. Duration: 1 year with likely extension. (6/30 PO end date)Fingerprinting Required during onboarding. JOB DESCRIPTION:DTMB – Agency Services – Supporting Michigan State Police

• Database programming experience in data migration and conversion practices, Required 15+ years
• Writing Oracle packages, procedures, and functions, Required 15+ years
• Designing, creating, normalizing and maintenance of oracle database objects, Required 15+ years.
• Experience in performance tuning, Required 15+ years.
• Knowledge and experience in understanding and implementing of the CJIC poilicies. 10+ years
• Experience in Oracle Database administration, PL/SQL, packages, security, and stored procedures, Required 12+ years.
• Designing logical and physical database model, Required 12+ years
• Knowledge in design, development, implementation, and documentation of data systems.
• Vast experience in LINUX systems, Required 10+ years.
• Data analysis and management, Required 10+ years
• Experience in developing using ETL software. desired 10+ years
• Experience in Data Modeling and desigining Datawarehouse databases,Required 8+ years.
• Experience in Tableau software Administration. Required 1-3 years
• Exprerince in creating Dashboard and Tableau Prep conductor workflows. Required 1-3 years
• Experience in Azure Datafactory for ETL development 1-3 years

• Design, implement, and support data warehousing. Implement business rules via stored procedures, middleware, or other technologies.
• Install and upgrade Tableau server and perform server performance tuning for optimization.
• Schedule data refreshes on Tableau Server for daily/weekly/monthly increments depending on the dashboard cadence.
• Design, develop, conducts unit testing, and maintains complex Tableau reports for scalability, manageability, extensibility, performance, and re-use.
• Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
• Perform routine maintenance of Tableau server by optimizing and decommissioning internal resource usage.
• Generate Tableau dashboards with forecast and reference lines using parameters, sets, groups, and calculations.
• Developing and maintaining the dashboards, related workflows
• Architecting, Developing, and creating schedules using Tableau Prep Conductor for workflows
• Optimize the workflows for performance
• Work experience in Azure Data factory for ETL development
• Define user interfaces and functional specifications. Responsible for verifying accuracy of data, and the maintenance and support of the data warehouse.
• Knowledge of data warehouse end-to-end implementation processes, from business requirement logical modeling, physical database design, ETL, end-user tools, database, SQL, performance tuning.
• Responsible for proper selection of appropriate hardware, software, tools, and system lifecycle techniques for the different components of the end-to-end data warehouse architecture including ETL, metadata, data profiling software,

• Defining and documenting the technical architecture of the data warehouse, including the physical components and their functionality. Setting or enforcing standards and overall architecture for data warehouse systems.
• Ability to educate the project teams on the standards and architecture of each component of the data warehouse architecture. Very strong written and oral communication skills, including some presentation skills.
• Design and supervise overall development of Data Mart and Oracle-hosted dimensional models.
• Create ETL designs to provide easy accession to data marts.
• Develop data warehousing hardware and software platforms and integrate systems to ensure that integration is effective and meets client specifications.
• Design and oversee the implementation of data transformation and change processing procedures to ensure that data from multiple sources is aggregated, normalize, and update and then publish to multiple target environments.
• Establish data standards and policies, data modeling, systems architecture design, and migration system architectures to ensure access to and integrity of data assets.
• Evaluate reusability of current data for additional analysis, while maintaining integrity and confidentiality of information.
• Develop data warehousing hardware and software platforms and integrate systems to ensure that integration is effective and meets client specifications.
• Install database management software and database patches in any environment.
• Review, install, analyze, and implement security patches to be applied to remain CJIS compliant, Payment Cared Industry (PCI) compliant, and Michigan Cyber Security compliant.
• Research, analyze, and determine appropriate changes to DBMS parameters to support future application and database needs.
• Research, analyze, and determine appropriate hardware changes to support future application and database needs. Report recommendations to appropriate DBA specialist and/or technical services.
• Implement data encryption.
• Perform Data Export/Import/Load and data transformations between databases in production environments.
• Perform production data file transfers between different systems, across state agencies, federal government, vendors, etc.
• Must have thorough knowledge of Oracle materialized views, Oracle partitioning.
• Perform database performance tuning by identifying index candidates, updating database statistics, using appropriate optimization techniques, optimizer hints and other methods. Document tuning procedures.
• Implement defined initialization parameters, database instance memory structures and physical data layout for optimal performances