Database Developer

SOUTHEASTERN COMP CONSULTANTS INC•Dahlgren, VA

8d•Onsite

About The Position

SCCI is seeking a Database Developer to join our team leading the design and implementation of a unified enterprise data architecture across a complex ecosystem of systems and projects. This role is responsible for defining the ontology to define how data is structured, related, governed, and scaled across the organization. In this position, you will operate at both a strategic and hands-on level—establishing standards, guiding implementation, and solving complex data integration challenges. The ideal candidate brings deep expertise in database architecture, data modeling and system interoperability, along with the ability to translate fragmented, inconsistent data into a cohesive and extensible enterprise model. This position is located in Dahlgren, VA. SCCI offers a comprehensive and competitive benefits package including Health, Dental, Vision, Life and Disability benefits, 401k with Company Match, time off consisting of 2 weeks of paid vacation, 48 hours of sick/personal leave, and 11 paid Holidays.

Requirements

Must be a U.S. Citizen and be able to obtain and maintain an active Secret Security Clearance
Bachelor's (BS) Degree in Information Systems, Computer Science, Engineering, Math, or similar technical degree
Seven (7) – Twelve (12)+ years of experience in database development, data engineering, or data architecture
Deep expertise in relational database design and advanced SQL
Proven experience designing enterprise-scale data models and architectures
Strong experience integrating data across multiple systems and domains
Demonstrated ability to structure and model unstructured/semi-structured data
Experience with ETL/ELT pipelines and large-scale data transformation
Strong understanding of data governance, data quality, and data lifecycle management

Nice To Haves

Have an active Secret Security Clearance
Experience building or contributing to enterprise data ontologies, semantic layers, or knowledge graphs
Familiarity with Master Data Management (MDM) and canonical data modeling approaches
Experience with cloud data platforms (AWS, Azure, GCP) and modern data stacks
Knowledge of data cataloging and metadata management tools
Experience with distributed systems and event-driven architectures
Programming experience (Python, Java, or similar) for data processing and automation

Responsibilities

Enterprise Data Architecture & Ontology Leadership Define and evolve the enterprise data ontology, including core entities, relationships, and semantic standards
Establish canonical data models that align disparate systems into a unified structure
Lead the development of enterprise-wide data standards, naming conventions, and modeling guidelines
Serve as the authority on how data should be structured and governed across the organization
Data Modeling & System Design Design complex logical and physical data models spanning multiple domains and systems
Architect solutions that balance normalization, performance, scalability, and usability
Define patterns for handling structured, semi-structured, and unstructured data
Guide teams in implementing consistent and reusable data structures
Cross-System Integration & Alignment Lead efforts to reconcile conflicting data models across programs and applications
Design integration strategies that enable interoperability between systems
Define data contracts and interface schemas between services and platforms
Identify and eliminate redundancy and inconsistency across enterprise datasets
Unstructured Data Strategy Develop frameworks for structuring and integrating unstructured and semi-structured data
Define metadata, tagging, and classification approaches to support discoverability and governance
Evaluate when to use relational vs. NoSQL vs. hybrid approaches
Data Governance & Quality Establish and enforce data governance standards, including data quality, lineage, and validation rules
Partner with stakeholders to define authoritative data sources and master data domains
Implement strategies for data auditing, traceability, and compliance
Performance, Scalability & Optimization Architect high-performance data solutions capable of supporting enterprise-scale workloads
Lead performance tuning strategies across databases, queries, and pipelines
Design for scalability across cloud and hybrid environments
Technical Leadership & Mentorship Provide technical leadership to database developers and data engineers
Review designs and implementations to ensure alignment with enterprise standards
Mentor team members in data modeling, database design, and best practices
Influence technical direction across multiple teams and programs
Collaboration & Stakeholder Engagement Work closely with enterprise architects, application developers, and business stakeholders
Translate business/domain needs into scalable data architectures
Lead design reviews and communicate complex data concepts clearly