Unstructured Data Developer Jobs

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2d ago

Database Developer

SOUTHEASTERN COMP CONSULTANTS INC Dahlgren, VA

Dahlgren, VA

2d ago

Full time Senior Cloud Architecture Data Architecture

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Job Description

This Database Developer role at SCCI centers on designing and implementing a unified enterprise data architecture across a complex system landscape, defining ontology, data standards, and modeling to govern and scale data across the organization. The position is based on site in Dahlgren, VA.

Overview

SCCI seeks a Database Developer to lead the design and implementation of a unified enterprise data architecture across a broad ecosystem of programs and platforms. The role involves defining how data is structured, governed, and scaled, while operating at both strategic and hands-on levels to establish standards, guide implementations, and tackle intricate data integration challenges. This position is based in Dahlgren, Virginia.

Responsibilities

Lead enterprise data ontology development, including core entities, relationships, and semantic standards; create canonical data models that unify disparate systems; establish enterprise data standards, naming conventions, and modeling guidelines; serve as the authoritative source on data structuring and governance.
Design complex logical and physical data models across multiple domains; architect solutions balancing normalization, performance, scalability, and usability; define patterns for structured, semi-structured, and unstructured data; guide teams in implementing consistent, reusable data structures.
Manage cross-system alignment by reconciling conflicting data models, crafting integration strategies for interoperability, defining data contracts and interface schemas between services, and eliminating redundancy and inconsistency across datasets.
Develop frameworks for structuring and integrating unstructured and semi-structured data; specify metadata tagging and classification approaches to support discoverability and governance; evaluate when to leverage relational, NoSQL, or hybrid approaches.
Establish and enforce data governance standards, including data quality, lineage, and validation rules; collaborate with stakeholders to define authoritative sources and master data domains; implement data auditing, traceability, and compliance measures.
Architect high-performance data solutions capable of supporting enterprise-scale workloads; lead performance tuning across databases, queries, and pipelines; design for scalability in cloud and hybrid environments.
Provide technical leadership to database developers and data engineers; review designs and implementations for alignment with enterprise standards; mentor team members in data modeling, database design, and best practices; influence technical direction across multiple teams and programs.
Collaborate with enterprise architects, application developers, and business stakeholders; translate domain needs into scalable data architectures; lead design reviews and communicate complex data concepts clearly.

Essential Skills and Experience

Must be a U.S. citizen and able to obtain and maintain an active Secret Security Clearance.
Bachelor’s degree in Information Systems, Computer Science, Engineering, Math, or a related technical field.
Seven to twelve plus years of experience in database development, data engineering, or data architecture.
Deep expertise in relational database design and advanced SQL.
Proven track record designing enterprise-scale data models and architectures.
Strong experience integrating data across multiple systems and domains.
Demonstrated ability to structure and model unstructured and semi-structured data.
Experience with ETL or ELT pipelines and large-scale data transformation.
Solid understanding of data governance, data quality, and data lifecycle management.

Preferred Skills and Experience

Active Secret Security Clearance.
Experience building or contributing to enterprise data ontologies, semantic layers, or knowledge graphs.
Familiarity with Master Data Management 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 in Python, Java, or similar languages for data processing and automation.

Technologies

Python
Java
AWS
Azure
GCP
Relational databases
NoSQL

Benefits

Health, dental, vision, life and disability benefits
401(k) with Company Match
Paid vacation (2 weeks)
Sick and personal leave (48 hours)
11 paid holidays

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