Data modeling & architecture SME

Neevsys LLC; Vienna (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Neevsys LLC is seeking a subject-matter expert to set the design foundation for backend engineering, defining data models, standards, and scalable architecture for warehouse and data-quality pipelines.

Responsibilities include modeling across conceptual to physical layers, establishing conventions, and guiding engineers on schema design and integration. Candidates should have strong SQL Server experience and be able to mentor teams.

Qualifications

• Deep data modeling expertise across conceptual, logical and physical layers.
• Data architecture spanning OLTP and analytics/warehouse systems.
• Strong SQL Server / relational database background.
• Ability to set standards and mentor engineering teams.

Responsibilities

• Design conceptual, logical, and physical data models for the program.
• Define data architecture, standards, and modeling conventions for backend engineering.
• Advise developers on schema design and integration patterns.
• Support data quality and governance through model design and metadata.
• Review designs and guide technical direction for backend/data engineering.

Skills

Data modeling

Data architecture

SQL Server

Mentoring/standards

Tools

ER/Studio

erwin

SQL Server

Job description

Over 10 years we helping companies reach their financial and branding goals. Onum is a values-driven SEO agency dedicated.

Neevsys is currently seeking asubject-matter expert who sets the design foundation for backend engineering — the data models, standards, and architecture that keep the warehouse and data-quality pipelines coherent and scalable.

Responsibilities

• Design conceptual, logical, and physical data models across the program.
• Define data architecture, standards, and modeling conventions for backend engineering.
• Advise developers on schema design, normalization vs. dimensional modeling, and integration patterns.
• Support data quality and governance through sound model and metadata design.
• Review designs and guide technical direction for backend / data engineering.

Required skills

• Deep data modeling expertise — conceptual / logical / physical, normalization, and dimensional (star / snowflake).
• Data architecture across OLTP and analytical / warehouse systems.
• Strong SQL Server / relational database background.
• Ability to set standards and advise or mentor engineering teams.
• US work authorization; clearance eligibility per contract environment.

Preferred

• Data governance, master data management, or metadata management.
• Modeling tools (erwin, ER/Studio, or similar).
• Cloud data architecture (Azure Synapse, Snowflake, or similar).