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Senior Collibra Developer Jobs in Virginia (NOW HIRING)

We are seeking a Senior Data Scientist / AI Full-Stack Engineer to design, build, and scale AI ... Support platform evolution and integration with enterprise tools (e.g., Databricks, Collibra ...

New

Data Modeler

Mclean, VA · On-site

$56.25 - $72.75/hr

Title: Sr. Data Modeler Location: Dallas, TX / Mclean, VA (5 days onsite) The Sr. Data Modeler will ... Collibra Metadata Management Tool · Mortgage/finance industry data modeling; Use of the MISMO ...

This position will partner with data modelers, data engineers, platform teams, and data governance ... Familiarity with metadata, catalog, or governance platforms (e.g., Collibra, Alation, Informatica ...

This position will partner with data modelers, data engineers, platform teams, and data governance ... Familiarity with metadata, catalog, or governance platforms (e.g., Collibra, Alation, Informatica ...

Mentor Data Architects and senior Data Engineers, elevating architectural thinking, modeling ... Hands-on experience with modeling and metadata tools (e.g., ERWin, ER/Studio, dbt, Collibra ...

Enterprise Data Architect

Mclean, VA · Remote

$135K - $165K/yr

Mentor Data Architects and senior Data Engineers, elevating architectural thinking, modeling ... Hands-on experience with modeling and metadata tools (e.g., ERWin, ER/Studio, dbt, Collibra ...

Enterprise Data Architect

Mclean, VA · On-site

$135K - $165K/yr

Mentor Data Architects and senior Data Engineers, elevating architectural thinking, modeling ... Hands-on experience with modeling and metadata tools (e.g., ERWin, ER/Studio, dbt, Collibra ...

... Collibra, Starburst, Tableau, Grafana, ServiceNow preferred \n \n \n * Provide primary technical ... Collaborate with the platform engineering, analytics, infrastructure team and product to implement ...

Showing results 41-60

Senior Collibra Developer information

What is a senior Collibra developer?

A Senior Collibra Developer is an experienced IT professional who specializes in implementing, customizing, and maintaining the Collibra Data Intelligence platform. They are responsible for designing data governance solutions, developing workflows, integrating Collibra with other systems, and supporting data management initiatives. In addition to strong technical skills, they often work closely with business stakeholders to ensure data quality, compliance, and effective data stewardship within an organization.

What are some common challenges faced by senior Collibra developers when implementing data governance solutions across large organizations?

Senior Collibra Developers often encounter challenges such as integrating Collibra with diverse data sources, managing stakeholder expectations, and ensuring data quality standards are uniformly applied. Coordinating with cross-functional teams—including data stewards, architects, and business analysts—can be complex due to varying levels of data literacy and priorities. Additionally, customizing workflows and maintaining scalability as the organization grows require both technical expertise and a strong understanding of business processes. Successfully addressing these challenges often leads to improved data governance and career advancement opportunities.

What are the key skills and qualifications needed to thrive as a senior Collibra developer, and why are they important?

To thrive as a Senior Collibra Developer, you need deep expertise in data governance, metadata management, and Collibra platform configuration, typically supported by a degree in computer science or related field. Proficiency with Collibra tools, SQL, workflow automation (e.g., BPMN), and relevant certifications such as Collibra Ranger are highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams set top performers apart. These skills are critical for implementing robust data governance solutions that ensure data quality, compliance, and business value.

What is the difference between Senior Collibra Developer vs Data Governance Analyst?

AspectSenior Collibra DeveloperData Governance Analyst
Required CredentialsCollibra certifications, SQL, data management skillsData governance certifications, analytical skills
Work EnvironmentTechnical teams, IT departments, data management projectsBusiness units, compliance teams, data policy enforcement
Employer & Industry UsageFinancial, healthcare, tech companies implementing CollibraOrganizations focusing on data compliance and quality

The main difference is that a Senior Collibra Developer primarily focuses on implementing and customizing Collibra data governance tools, while a Data Governance Analyst concentrates on developing data policies, ensuring data quality, and compliance. Both roles require understanding data management, but the developer role is more technical, whereas the analyst role is more business-oriented.

What are popular job titles related to Senior Collibra Developer jobs in Virginia?

For Senior Collibra Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Collibra Developer jobs in Virginia look for?

The top searched job categories for Senior Collibra Developer jobs in Virginia are:

What cities in Virginia are hiring for Senior Collibra Developer jobs?

Cities in Virginia with the most Senior Collibra Developer job openings:

Full Stack Engineer

Chantilly, VA • On-site

Ampcus Inc
IT Services • 1 - 5K employees

Other

Posted 2 days ago

New


Job description

We are seeking a Senior Data Scientist / AI Full-Stack Engineer to design, build, and scale AI-powered analytics and application platforms. This is a hybrid role that blends data science with modern full-stack development (React/Next.js/Svelte + Node.js), with AI/ML — including natural language querying and RAG — woven through both the backend and the customer-facing product experience. You'll build the data pipelines and AI capabilities that power the platform, and ship the application layer end to end.

Key Responsibilities AI / NLP / RAG
  • Build and maintain RAG pipelines, vector search, and semantic query systems using LLMs (Claude or similar)
  • Develop prompt engineering strategies and continuously improve AI output accuracy and relevance
  • Integrate AI/ML capabilities into customer-facing UI to create smarter, adaptive user experiences
Data Science & Engineering
  • Develop and maintain SQL and Python logic for data processing and analysis
  • Integrate and normalize data from multiple sources (logs, APIs, databases, surveys)
  • Ensure data accuracy, consistency, and performance optimization
  • Implement data quality validation and monitoring processes
Full-Stack Application Development
  • Architect, build, and scale the front-end application layer using React.js, Next.js, or Svelte
  • Build backend services and APIs using Node.js (or FastAPI)
  • Design and implement dynamic, user-configurable dashboards and visualizations (charting libraries such as ECharts, Recharts, D3, or BI tools) with filtering, drill-down, saved views, and export (PNG/CSV/PDF)
  • Ensure platform is built for extensibility, performance, and long-term scalability
Delivery & Collaboration
  • Deliver iteratively using Agile/SAFe methodologies (PI planning, epics/features/stories, sprint execution)
  • Maintain documentation: data architecture diagrams, AI workflow and prompt design docs
  • Collaborate cross-functionally with program leadership, business stakeholders, and platform engineering; translate business needs into implemented solutions
  • Support platform evolution and integration with enterprise tools (e.g., Databricks, Collibra)
Required Qualifications
  • 8–15 years of professional experience spanning data science and full-stack software development (exact range flexible depending on candidate strength across both sides)
  • Expert-level proficiency in one or more modern UI frameworks: React.js, Next.js, or Svelte
  • Strong backend experience with Node.js (or FastAPI/Python backend frameworks)
  • Advanced SQL and strong Python for data processing and analysis
  • Demonstrable hands-on experience with LLMs, prompt engineering, RAG, and/or vector search — not just conceptual familiarity
  • Experience with state management, build tools (Webpack/Vite), and testing frameworks
  • Solid understanding of both SQL and NoSQL database technologies
  • Experience with a major cloud platform (AWS, GCP, or Azure) and CI/CD pipelines
  • Experience working in Agile and/or SAFe environments
Preferred Qualifications
  • Experience building AI-powered natural language querying or "ask your data" style features in production
  • A portfolio or examples of shipped AI-integrated features (chatbot, recommendation engine, NLP, computer vision, etc.)
  • Familiarity with AI-specific libraries/frameworks (LangChain, TensorFlow.js)
  • Exposure to Databricks and/or ETL/data pipeline frameworks
  • Experience with SvelteKit
  • Experience with performance monitoring/observability tools
  • Knowledge of web security best practices
  • Prior tech lead or architectural ownership role
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Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004