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Internship Architectural Model Maker information

What is the difference between Internship Architectural Model Maker vs Architectural Model Maker?

AspectInternship Architectural Model MakerArchitectural Model Maker
CredentialsTypically pursuing or recent graduate in architecture, design, or related fieldProfessional certification or extensive experience in model making
Work EnvironmentInternship setting, often in architecture firms or design studiosFull-time, specialized workshops or studios
Employer & IndustryArchitecture firms, design studios, educational institutionsArchitecture firms, model making companies, construction industry
Search & Comparison IntentLearning about entry-level opportunities and trainingUnderstanding professional skills and career progression

In summary, an Internship Architectural Model Maker is an entry-level position aimed at gaining experience and skills in architectural model making, often held by students or recent graduates. An Architectural Model Maker is a professional with more experience, responsible for creating detailed models for clients and projects. The internship provides foundational exposure, while the full-time role involves advanced craftsmanship and project management.

What are the most commonly searched types of Architectural Model Maker jobs in Virginia?

The most popular types of Architectural Model Maker jobs in Virginia are:

Internship Architectural Model Maker jobs near you
Infographic showing various Internship Architectural Model Maker job openings in Virginia as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution.

Lead Data Engineer - Data Transformation (Modeling and Architecture)

Capital One

Richmond, VA • On-site

Full-time

Re-posted 19 days ago

Key responsibilities

  • Build and maintain comprehensive data models to ensure scalable architecture and high data integrity across enterprise systems.

  • Design and implement data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support analytical and operational requirements.

  • Support high-performance data pipelines and complex transformations using SQL, Spark, and Python to process large-scale datasets.

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 175 rated banks

Job description

Lead Data Engineer - Data Transformation (Modeling and Architecture)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You'll Do:
  • Build and maintain comprehensive data models-spanning conceptual, logical, and physical layers-to ensure scalable architecture and high data integrity across enterprise systems.
  • Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needs
  • Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements.
  • Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently.
  • Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability
  • Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals.
  • Contribute to the evolution of the data ecosystem by designing AI-ready architectures
  • Collaborate with and across Agile teams to design, develop, implement, and support technical solutions
  • Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systems
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

Basic Qualifications:
  • Bachelor's Degree
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
  • 4+ years of experience in Data Architecture / Data Modeling
  • 7+ years of experience in application development including Python, SQL, Scala, or Java
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $197,300 - $225,100 for Lead Data Engineer
McLean, VA: $197,300 - $225,100 for Lead Data Engineer
Richmond, VA: $179,400 - $204,700 for Lead Data Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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