Data Architect

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🔥 10 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Black Canyon Group Inc.

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📣 Marketing

📚 Education

Consulting • Marketing • Education

Black Canyon Group Inc. is an E-Learning provider that specializes in equipping B2B executives with the skills and strategies needed to compete, win, grow, and thrive in their markets. Focused on small-to-medium-sized and privately-held companies, the group emphasizes B2B marketing, professional development, and strategic business practices. They are known for their creation of the NanoMarketing Method ®, a precise system aimed at enhancing business development for organizations whose customers are other businesses and not individual consumers.

📋 Description

• Serve as the primary architecture authority for the data workstream • Define the end-to-end data architecture spanning ingestion, bronze/silver/gold processing, document pipelines, GIS processing, analytical data products, and downstream services • Design the lakehouse architecture using Amazon S3, Apache Iceberg, AWS Glue Catalog, and DuckDB • Define reusable patterns for batch, API, file, database, CDC, and event-driven ingestion • Establish a metadata-driven architecture supporting configuration-based source onboarding and source-to-canonical mappings • Define and govern the common canonical data model used to harmonize information across source systems • Establish data contracts and standards for lineage, provenance, reconciliation, schema evolution, auditability, and data quality • Define architecture patterns for agentic solutions supporting source analysis, mapping, pipeline generation, testing, reconciliation, and quality assurance • Establish controls for agentic workflows, including validation, observability, security, deterministic execution, and human review where required • Coordinate architecture across structured data, OCR/document processing, vector search, and geospatial data • Provide architectural direction and design review across the data engineering, data science, GIS, and content pipeline teams • Work with Government stakeholders and technical teams to translate business and domain requirements into scalable data models and services • Maintain architecture standards, technical decisions, interface specifications, and implementation guidance • Support technical handoff and knowledge transfer to Government and operations teams

🎯 Requirements

• 10+ years of experience in data architecture, data engineering, or software engineering, including leadership of modern data platform initiatives • Demonstrated experience designing cloud-based data lakehouse or analytical platforms • Hands-on experience with DuckDB, Apache Iceberg, SQL, Python, and AWS data services including Amazon S3 and AWS Glue • Experience designing medallion-style architectures, canonical data models, and metadata-driven ingestion and transformation frameworks • Experience integrating databases, APIs, files, streaming/event sources, and enterprise SaaS applications • Experience architecting or implementing agentic or AI-enabled solutions, including orchestration, tool integration, validation, observability, security, and human-in-the-loop controls • Strong understanding of data contracts, schema evolution, lineage, provenance, reconciliation, and data quality • Experience providing architectural leadership to multidisciplinary technical teams and translating business requirements into scalable technical solutions • Strong written and verbal communication skills • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical discipline

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • 401k plan with employer contribution • Paid holidays • Vacation • Tuition reimbursement • Periodic travel as required

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