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Data Modeling Director Jobs in Virginia (NOW HIRING)

Data Architect

Fairfax, VA ยท On-site

$155K - $220K/yr

No direct reports; highly collaborative role across multiple teams What Success Looks Like * Delivering scalable, well-documented data models * Acting as a trusted advisor to stakeholders * Enabling ...

Senior Data Engineer/Architect

Richmond, VA ยท On-site

$61.75 - $82.75/hr

This is a permanent/direct hire position. Snapshot of the client: * Specialty insurance company ... Design data models, data standards, and business glossary * Develop and optimize Extract, Transform ...

Be Seen First

The ideal candidate will be familiar with data modeling techniques such as Data Vault and Star ... Experience with products like DBT and understanding of Directed Acyclic Graphs (DAGs) is also ...

Be Seen First

The ideal candidate will be familiar with data modeling techniques such as Data Vault and Star ... They should also have experience with products like DBT and understand Directed Acyclic Graphs ...

AWS Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

Solid SQL SQL skills and familiarity with data modeling and query optimization * Experience with ET ... Direct: 4705239688 Led by 25+ Years of Industry Experience

Lead Consultant, Data Engineer

Arlington, VA ยท On-site +1

$125K - $150K/yr

Data modeling and database design skills and knowledge of version control * Excellent verbal and ... Works with engagement leads and directors to gain exposure in the design and architecture of ...

AWS Data Engineer - w2

Reston, VA ยท On-site

$119K - $143K/yr

Solid SQL SQL skills and familiarity with data modeling and query optimization * Experience with ET ... Direct: 4705239688 Led by 25+ Years of Industry Experience

Analysis & Modeling: Perform statistical and predictive modeling to identify trends, anomalies, and ... Director of Energy. * The candidate will assist in representing the company in commercial ...

Data Engineer

Reston, VA ยท On-site

$119K - $143K/yr

This is a high-visibility role reporting to the Sr. Director of Solution Architecture. You will ... Document data models, pipeline flows, and technical specifications to support knowledge transfer ...

Data Engineer

Reston, VA ยท Hybrid

$119K - $143K/yr

This is a high-visibility role reporting to the Sr. Director of Solution Architecture. You will ... Document data models, pipeline flows, and technical specifications to support knowledge transfer ...

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Data Modeling Director information

What is the difference between Data Modeling Director vs Data Warehouse Manager?

AspectData Modeling DirectorData Warehouse Manager
Primary FocusDesigning and overseeing data models and architectureManaging data warehouse operations and data integration
Required SkillsData modeling, database design, leadershipData warehousing, ETL processes, team management
Work EnvironmentStrategic planning, collaboration with data architectsOperational management, technical troubleshooting
Industry UsageUsed across industries with large data needsPrimarily in organizations with extensive data warehousing needs

The Data Modeling Director focuses on creating and maintaining data models and architecture, ensuring data consistency and quality. In contrast, the Data Warehouse Manager handles the day-to-day operations of data warehouses, including data integration and performance optimization. Both roles require strong technical skills, but their responsibilities differ in scope and focus.

What does a Data Modeling Director do?

A Data Modeling Director oversees the design, development, and management of data models that support an organization's data strategy and business goals. They lead teams of data modelers and analysts to create, optimize, and maintain logical and physical data models for databases, data warehouses, and other data systems. Their responsibilities include ensuring data quality, consistency, and compliance with industry standards, as well as collaborating with stakeholders to align data structures with business needs. Additionally, they often provide guidance on best practices and emerging trends in data modeling to ensure scalable and efficient data architectures.

What are the 4 types of data modeling?

Data Modeling Directors typically work with four main types of data modeling: conceptual, logical, physical, and dimensional. Conceptual models define high-level data structures, logical models specify detailed data relationships, physical models focus on how data is stored in databases, and dimensional models are used in data warehousing for analysis. Understanding these types helps in designing effective data architectures and supporting data-driven decision-making.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data modeling, leadership, and strategic decision-making, and may involve managing large teams and complex projects.

What is the highest paid job in data science?

In data science, senior roles such as Chief Data Officer or Director of Data Science tend to have the highest salaries, often exceeding $150,000 annually, especially in large organizations. These roles require advanced skills in machine learning, data architecture, and leadership, and often involve strategic decision-making and cross-functional collaboration.

What are the key skills and qualifications needed to thrive as a Data Modeling Director, and why are they important?

To excel as a Data Modeling Director, you need deep expertise in data architecture, data modeling methodologies (such as relational, dimensional, and NoSQL), and a strong background in computer science or a related field. Experience with data modeling tools (e.g., ERwin, PowerDesigner), database systems (SQL, Oracle, MongoDB), and relevant certifications like CDMP are highly valuable. Strong leadership, communication, and project management skills set standout professionals apart by enabling effective team collaboration and stakeholder engagement. These competencies ensure the design and management of robust, scalable data structures that support organizational objectives and informed decision-making.

What is the difference between a data engineer and a data modeler?

A Data Modeling Director oversees the design and structure of data models that define how data is stored and related, focusing on creating efficient schemas and standards. A data engineer builds and maintains data pipelines, integrating data from various sources and ensuring data availability for analysis, often using tools like SQL, Python, and cloud platforms. Both roles require strong technical skills but focus on different aspects of data management.

What are some common challenges faced by a Data Modeling Director when managing cross-functional teams?

As a Data Modeling Director, a key challenge is ensuring alignment across cross-functional teams such as data engineering, business analytics, and IT. Different teams may have varying priorities, technical backgrounds, and understandings of data requirements, which can lead to miscommunication or conflicting objectives. To address this, the director must foster clear communication, establish standardized data modeling practices, and facilitate regular collaboration to ensure that data models meet both technical and business needs. Balancing technical accuracy with business relevance is essential for successful project outcomes.
What are the most commonly searched types of Data Modeling jobs in Virginia? The most popular types of Data Modeling jobs in Virginia are:
What job categories do people searching Data Modeling Director jobs in Virginia look for? The top searched job categories for Data Modeling Director jobs in Virginia are:
What cities in Virginia are hiring for Data Modeling Director jobs? Cities in Virginia with the most Data Modeling Director job openings:
Data Architect

Data Architect

Piper Companies

Fairfax, VA โ€ข On-site

$155K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Senior Data Modeler / Data Architect (CDM Program)
Location: Hybrid
Clearance: Ability to obtain Public Trust
Overview
We are seeking a Senior Data Modeler / Data Architect to support dashboard development for a large-scale federal cybersecurity program (CDM). This role will serve as the subject matter expert for data modeling and data design, partnering closely with stakeholders to design, evolve, and maintain data structures that support cybersecurity analytics and reporting.
This is a client-facing, senior-level role requiring strong communication skills and the ability to operate with minimal supervision in a fast-paced, evolving environment.
Key Responsibilities
  • Lead data modeling, data design, and database architecture efforts
  • Design and evolve data structures to support dashboards and analytics
  • Build and maintain data dictionaries, data catalogs, and clear data definitions
  • Perform impact analysis and manage change processes for data models
  • Serve as a trusted advisor to stakeholders and customers, translating requirements into technical solutions
  • Partner with governance teams to define and implement data quality standards and policies
  • Support requirements gathering and ensure alignment with data architecture
  • Collaborate with analysts and cross-functional teams to enable effective data usage
  • Evaluate code (e.g., Python) to understand data flows and model dependencies
  • Ensure data quality, consistency, and usability across systems
Required Qualifications
  • 7+ years of experience in data modeling, data architecture, or database design (flexible for strong candidates)
  • Strong expertise in:
    • Data modeling (conceptual, logical, physical)
    • ERDs, UML, entities/relationships
    • Relational and non-relational databases
    • Data normalization and data structure design
  • Experience creating and maintaining data dictionaries and data catalogs
  • Ability to work directly with clients and communicate technical concepts clearly
  • Experience managing data model changes and governance processes
  • Working knowledge of Python for data analysis or validation
  • Experience with tools such as Databricks, Alation, Jira, Confluence or similar
  • Strong problem-solving skills and ability to adapt to changing priorities
Preferred Qualifications
  • Experience with cybersecurity data or frameworks (e.g., CDM, SCAP, STIX, Elastic Common Schema, Splunk CIM)
  • Familiarity with Elasticsearch / Elastic dashboards
  • Experience in data warehousing environments
  • Exposure to data governance frameworks and policies
  • Ability to support automation or process improvements
Work Environment
  • ~60% data modeling and design
  • 20-30% stakeholder interaction and client meetings
  • Remaining time collaborating with internal teams (analysts, governance, requirements)
  • No direct reports; highly collaborative role across multiple teams
What Success Looks Like
  • Delivering scalable, well-documented data models
  • Acting as a trusted advisor to stakeholders
  • Enabling high-quality data for dashboarding and analytics
  • Adapting quickly as program priorities evolve
Compensation
  • Salary: $155,000 - $220,000
  • Benefits: Medical, Dental, Vision, 401 (k), PTO, Sick Leave, Holidays. (As required by law)