Data Modeler (NoSQL/ MongoDB)
McLean, VA (Hybrid)
Contract Role
Skills needed:
- 8-10 years data modeling experience with 5+ years of hands-on relational, dimensional, and/or analytic experience (using MongoDB and other NoSQL data platform technologies, and ETL and data ingestion protocols).
- Specialized technical knowledge of the MongoDB platform or similar NoSQL technologies
- Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
- Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
- Design and development experience building a reusable REST API model/framework to consume data from and/or push data into MongoDB (or similar technology)
- In depth knowledge of modeling/architectural patterns, governance methodologies, and potential limitations within MongoDB
- Ability to configure schema and MongoDB data modelling
- Experience in Database security management
- Knowledge of MongoDB administration and installation in AWS and Red Hat
- In-depth understanding of MongoDB architecture
- Excellent communication skills; ability to communicate with various stakeholders at various levels
Your Impact:
- Meet with stakeholders to understand and document requirements which are the basis for the model solutions
- Provide training and mentorship, and work closely with product analysts on the product teams, on data mapping
- Develop model solutions, and be able to convey the pro's and con's of alternatives
- Review model solutions crafted by the team members to ensure alignment to standards and consistency with Industry standards and best practices
- Ensure consistency between the MongoDB collections
- Ensure maintenance of controls, data exchange management
- Ensure/lead model reviews to ensure fit for use (satisfies requirements, both immediate and likely future)
- Ensure modeling team meets all commitments and uphold the motto of "no delays to product teams"
- Ensure continued creation/maintenance of critical modeling artifacts, ex. requirements and modeling analysis documentation, model change requests logs, data dictionaries, artifacts for architecture document, etc.
- Achieve data standardization for critical value sets through acquiring agreement and buy-in from stakeholders and enabling compliance through a streamlined process
- Identify and document patterns, especially in domain and enterprise models, ensuring alignment and/or ease for integration (common language), and escalate blockers to Sr. Manager.
- Support data governance work as needed.
Responsibilities:
- Designs, implements, and documents data architecture and data modeling solutions, which include the use of MongoDB and other NoSQL databases.
- Development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
- Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools.
- Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
- Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.