Job Title : Senior Data Modeler
Location : Washington, DC
Employment Type : Contract
About Us
DMV IT Service LLC, founded in 2020, is a trusted IT consulting firm specializing in IT infrastructure optimization, cybersecurity, networking, and staffing solutions. We partner with clients to achieve technology goals through expert guidance, workforce support, and innovative solutions. With a client-focused approach, we also provide online training and job placements, ensuring long-term IT success.
Job Purpose
The Senior Data Modeler will be responsible for designing and maintaining enterprise data models that support business and technical objectives. This includes building conceptual, logical, and physical models across relational, NoSQL, and modern data lake environments. The ideal candidate will serve as both a technical expert and a strategic advisor—defining data modeling standards, supporting governance practices, and ensuring high-quality data architecture across the enterprise ecosystem.
Requirements
Key Responsibilities
- Data Architecture & Modeling : Lead the design and development of conceptual, logical, and physical data models for databases, data warehouses, operational data stores, and data lakes.
- Platform Implementation : Implement and optimize data models across SQL and NoSQL environments, translating business needs into scalable, high-performance data structures.
- Data Governance : Establish and enforce enterprise-wide data modeling standards, methodologies, and best practices to ensure consistency and quality.
- Architecture Oversight : Manage and expand existing data architecture, ensuring alignment with strategic business and data management objectives.
- Data Analysis & Quality Assurance : Develop and execute complex SQL queries for profiling, validation, and data quality checks to maintain data accuracy and referential integrity.
- Cross-Functional Collaboration : Partner with business analysts, engineers, and application teams to document data flows and design solutions supporting analytical and operational use cases.
- Risk & Performance Management : Identify potential risks in data design, recommend optimization strategies, and enhance query performance through tuning and modeling best practices.
Required Skills & Experience
Proven experience developing conceptual, logical, and physical data models for enterprise-level environments.Advanced SQL skills with strong experience in data profiling, validation, and optimization.Expertise in RDBMS, Operational Data Stores (ODS), Data Marts, and Data Lakes across SQL and NoSQL technologies.Deep understanding of dimensional modeling techniques, including star and snowflake schemas.Knowledge of metadata management, data lineage, and data warehousing principles.Strong analytical, documentation, and communication skills with the ability to convey complex concepts to diverse audiences.Demonstrated ability to work independently and collaboratively within fast-paced, cross-functional teams.