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Data Modeling Director Jobs in Virginia (NOW HIRING)

Lead Consultant, Data Engineer

Arlington, VA · On-site +1

$113K - $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 ...

Data Scientist

Mclean, VA · On-site

$117.70 - $218.60/hr

... AI) models. + Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. + Programming:

... models. * Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. * Programming: Candidates ...

... models. * Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. * Programming: Candidates ...

... models. * Large Data Storytelling: explaining insights and methodology to a non-technical audience, dashboards, plots & visualizations, direct experience with customers. * Programming: Candidates ...

ML Data Engineer

Sterling, VA · Remote

$100K - $150K/yr

ML Data Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary ... Strong understanding of distributed systems, data modeling, and storage formats. * Experience with ...

Data Scientist

Mclean, VA · On-site

$125 - $160/hr

... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ... modeling, Artificial intelligence and machine learning. What We Value * Mission focus, sound ...

Data Scientist

Mclean, VA

$125K - $160K/yr

... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...

Data Engineer

Mclean, VA · On-site

$110K - $160K/yr

... years direct experience in Data Engineering with experience in tools such as: * Big data tools ... Experience with data modeling tools and process * Experience architecting data systems ...

Data Engineer

Mclean, VA

$110K - $160K/yr

... years direct experience in Data Engineering with experience in tools such as: * Big data tools ... Experience with data modeling tools and process. * Experience architecting data systems ...

Data Engineer

Mclean, VA

$110K - $160K/yr

... years direct experience in Data Engineering with experience in tools such as: * Big data tools ... Experience with data modeling tools and process * Experience architecting data systems ...

Data Engineer

Mclean, VA

$110K - $160K/yr

... years direct experience in Data Engineering with experience in tools such as: * Big data tools ... Experience with data modeling tools and process. * Experience architecting data systems ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

... years direct experience in Data Modeling and Data Solution Development * 1+ year performing queue modeling and survival analysis * Bachelor's degree in computer science, information systems ...

Showing results 41-60

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 key skills and qualifications needed to thrive as a Data Modeling Director?

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 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 cities in Virginia are hiring for Data Modeling Director jobs? Cities in Virginia with the most Data Modeling Director job openings:

Lead Consultant, Data Engineer

Lovelytics

Arlington, VA • On-site, Remote

$113K - $150K/yr

Full-time

Re-posted 22 days ago


Job description

Founded in 2017, Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics.

Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we\'ve delivered over $2B in business value for Fortune 500 clients.

In the last year, Lovelytics as grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks\' top partners.

This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few.  In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.

This role is open to remote candidates in the US. 
This role is not open for work sponsorship at this time.

Primary Responsibilities:

  • Utilize consulting and technical skills to be able to work in a client-facing project environment independently.
  • Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
  • Collaborate with other team members to successfully deliver on projects.
  • Work effectively and directly communicate with both internal and client and/or partner teams.
  • Develop full ownership of your execution on client engagements, you\'ll become involved in the project planning and solution stages of engagements as well.
  • Design and implement complex ETL/ELT pipelines with evidence of improved data processing times.
  • Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead.
  • Contribute to real-time data processing solutions and managed streaming data.
  • Implement security and compliance measures for data pipelines.
  • Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.

Our Ideal Candidate\'s Skills and Experiences:

  • B.S. in Computer Science or equivalent
  • 3-5 years\' experience in data engineering and big data. At least 2 years working directly with clients and external stakeholders.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **A must
  • Data modeling and database design skills and knowledge of version control
  • Excellent verbal and written communication skills
  • Is able to apply technical skills to engagement needs
  • Works with engagement leads and directors to gain exposure in the design and architecture of solutions
  • Understands and utilizes Lovelytics tools and client tools 

What We Promise You:

  • Exciting projects with great clients in varying departments and verticals across the world
  • The ability to work closely with experienced data engineers and quickly grow and expand your skillset
  • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
  • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
  • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

The base salary range for this position for candidates based in the US is $113,000-150,000 per year. Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget. Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below. Lovelytics is committed to pay equity and transparency in compensation practices.

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.