Data Architects/Engineers

Position: Data Architects/Engineers

Location: 189 Harry S Truman Parkway, Annapolis, MD 21401 (Hybrid – 2 Days Remote & 3 Days Onsite)

Duration: Long Term Contract

Interview: Video

Summary

The Hybrid Data Architects/Engineers will 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.

Responsibilities

1. Participation in all aspects of DW and ETL process design, creation, and specification for components.
2. Providing the following services in coordination with technical, functional and management representatives from JIS and the AOC.
1. Source Data Model to DW Logical Design ERD
1. 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.
2. Creating a logical warehouse data design.
3. Collaboration with platform administration team, design an ETL process to move data from the source system to the data warehouse.
1. Outlining the ETL process, setting the borders of data processing.
2. Providing system architecture for each element and the whole data pipeline.
3. Documenting the requirements of the system, manage its development and facilitate necessary knowledge transfer.
4. Assisting in the actual development/implementation of ETL tools.
5. Conducting testing of the tools and data pipelines.
2. DW Schema
1. Developing effective DW model(s) representing the data entities of the logical design based on functional analytic, reporting and bulk data requirements.
3. DW Physical Design
1. Collaborating with platform administration to assist their efforts in creating a DW Physical design including technical considerations for data quality and operational efficiency.
2. Collaborating with business and technology stakeholders to ensure data warehouse architecture development and utilization.
3. 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.
4. Any additional reports as assigned by the supervising manager.

Skills, Experience, & Capabilities

1. Offeror shall propose resource(s) possessing the following preferred skills, experience, and capabilities:
1. Database and analytical skills.
2. Ability to query source data.
3. Knowledge and experience with ETL tools, Visual Studio, and transmitting and reconstructing XML and 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.

Ability To

1. Work productively and maintain effective working relationships with peers, end users, vendor development staff, and all levels of management and Judicial personnel.
2. Critically think and problem solve.
3. Provide excellent communication and mentoring needs.
4. Quickly evaluate, learn and prototype new technologies.
5. Write optimized SQL queries and manage databases.

Experience With

1. BI best practices, relational structures, dimensional data modeling, SQL skills, data warehouse and reporting techniques.
2. Dimensional modeling, STAR schema design, Snowflake schema design, slowly changing dimensions, confirmed dimensions.
3. Designing and building BI solutions by monitoring and tuning queries and data loads.
4. Designing and implementing database models, schemes, and databases to support efficient data storage, retrieval, and analysis.
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 verified.
7. Normalization process.
8. Performing the design and extension of data marts, metadata, and data models.
9. Ensuring all data warehouse architecture codes are maintained in a version control system.
10. Advanced experience with technologies such as SQL Server 2016 or above, as well as with Azure data factory, SSIS and stored procedures.
11. High proficiency in dimensional modeling techniques and their applications.
12. Azure’s architecture in order to structure optimized data workflows.
13. The following tools:
1. Power BI
2. Tableau
3. Azure Synapse
4. Azure Data Factory
5. Azure Blob Storage
6. Azure Databricks
7. Microsoft Fabric
8. One Lake