Data Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-11-02). Last seen at its source just now.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen just now · last seen just now
The listing
Candidates must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
Key Responsibilities
- Design scalable enterprise data architectures, data lakes, warehouses, and analytics platforms on AWS.
- Develop logical, physical, and dimensional data models and establish data governance, quality, security, and metadata standards.
- Build and optimize data pipelines, ETL/ELT processes, APIs, and serverless solutions using AWS, Python, and SQL.
- Design and implement AI-enabled solutions, including RAG, LLM integrations, AI agents, and MCP-based architectures.
- Develop AI evaluation (Evals) frameworks to measure model accuracy, retrieval quality, safety, and business impact.
- Collaborate with stakeholders to translate business needs into scalable technical solutions.
- Provide architectural leadership, technology recommendations, and technical oversight across Agile teams.
- Bachelor’s degree in a related field or equivalent experience.
- 8+ years of experience in data architecture, data engineering, or enterprise data management.
- Expertise in data modeling, data integration, metadata management, governance, and AWS-based data platforms.
- Strong hands-on experience with Python, SQL, APIs, and serverless architectures.
- Experience implementing LLMs, RAG solutions, AI agents, MCP integrations, and AI evaluation methodologies.
- Knowledge of vector databases, embeddings, semantic search, and enterprise knowledge retrieval.
- Strong communication and stakeholder engagement skills.
- U.S. Citizenship required; ability to obtain and maintain a federal clearance.
- Experience supporting federal agencies.
- Experience with vector databases (e.g. pgvector).
- AWS certifications in Data Engineering, Solutions Architecture, Machine Learning, or Generative AI.
- Experience with Agile, DevSecOps, and CI/CD practices.