DAS is seeking a Hybrid Data Architects/Engineer to provide Data Warehouse Architect/Engineer services to serve as the primary resource(s) responsible for designing and building a data warehouse solution and working with conventional data warehouse technologies to devise plans that support designing data warehouse solutions in alignment with the Maryland Judiciary’s initiatives.

Work shall be performed in a hybrid setting each week, Monday through Friday, as follows:

• Two (2) days remote at a suitable off-site location selected by the Offeror/Offeror Resource(s).
• Three (3) days on site at the Maryland Judiciary Information Systems, 189 Harry S Truman Parkway, Annapolis, MD 21401.

The Hybrid Data Architects/Engineer will be responsible for the following:

• Participation in all aspects of DW and ETL process design, creation, and specification for
• Providing the following services in coordination with technical, functional and management representatives from JIS and the AOC.
• Source Data Model to DW Logical Design ERD
  • Understanding the general structure of the MDEC data and star schema models currently in use by JIS, and any related data sources identified as a result of initial planning and assessments.
  • Creating a logical warehouse data design.
  • Collaboration with platform administration team, design an ETL process to move data from the source system to the data warehouse, including, but not limited to, the following:
    • Outlining the ETL process, setting the borders of data
    • Providing system architecture for each element and the whole data
    • Documenting the requirements of the system, manage its development and facilitate necessary knowledge
    • Assisting in the actual development/implementation of ETL
    • Conducting testing of the tools and data

• DW Schema
  • Developing effective DW model(s) representing the data entities of the logical design based on functional analytic, reporting and bulk data requirements.

• DW Physical Design
  • Collaborating with platform administration to assist their efforts in creating a DW Physical design including technical considerations for data quality and operational efficiency.

• Collaborating with business and technology stakeholders to ensure data warehouse architecture development and utilization.
• All work completed by the proposed resource(s) shall be completed within regulatory compliance standards to protect sensitive data.
• Reporting as follows:
  1. Weekly progress report on programs and project,
  2. Weekly report communicating project progress and status,
  3. Weekly time reporting on JIS provided forms, and
  4. Any additional reports as assigned by the supervising

Required Qualifications:

1. Database and analytical skills.
2. Ability to query source data.
3. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing Extensible Markup Language (XML) and Structured Query Language (SQL).
4. Knowledge of scripting languages, such as Python, and the ability to automate repetitive tasks in Azure.
5. Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel.
6. Ability to:
   1. Work productively and maintain effective working relationships with peers, end users, vendor development staff, and all levels of management and Judicial
   2. Critically think and problem solve,
   3. Provide excellent communication and mentoring needs,
   4. Quickly evaluate, learn and prototype new
   5. Write optimized SQL queries and manage databases, as Azure data analysts frequently interact with Azure SQL database and other SQL-based
7. Experience with:
   1. BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and reporting
   2. Dimensional modeling, STAR schema design, Snow fake schema design, slowly changing dimensions, confirmed
   3. Designing and building BI solutions by monitoring and tuning queries and data loads, addressing user questions concerning data integrity, data mapping, monitoring performance and communicating functional and technical
   4. Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and
   5. Monitoring and optimizing data systems, data lifecycle, and infrastructure to ensure performance, scalability, and integrity.
   6. Designing and implementing ETL procedures for intake of data from multiple source systems; as well as ensure data quality and cleansing is
   7. Normalization process
   8. Performing the design and extension of data marts, meta data, and data
   9. Ensuring all data warehouse architecture codes are maintained in a version control
   10. Advanced experience with technologies such as SQL Server 2016 or above, as well as with Azure data factory, SSIS and stored procedures
   11. Advanced experience developing codes, testing for quality assurance, administering
   12. High proficiency in dimensional modeling techniques and their applications
   13. Azure’s architecture in order to structure optimized data
   14. The following tools:
       • Power BI
       • Tableau
       • Azure Synapse
       • Azure Data Factory
       • Azure Blob Storage
       • Azure Databricks
       • Microsoft Fabric
       • One Lake

Must have a minimum of 5 years of experience in a related field such as database administration, programming, managing data systems, or a similar role.