
1 - 10 employees
đź Consulting
đŁ Marketing
đ 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 ÂŽ, a precise system aimed at enhancing business development for organizations whose customers are other businesses and not individual consumers.
đ October 30
Where this job comes from
Posted on Black Canyon Group Inc.'s careers page â, not through a job board
First seen by Remote Rocketship October 30
Still open on Black Canyon Group Inc.'s site. Checked 3 hours ago.

1 - 10 employees
đź Consulting
đŁ Marketing
đ 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 ÂŽ, a precise system aimed at enhancing business development for organizations whose customers are other businesses and not individual consumers.
⢠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
⢠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
⢠Medical coverage ⢠Dental coverage ⢠Vision coverage ⢠401k plan with employer contribution ⢠Paid holidays ⢠Vacation ⢠Tuition reimbursement ⢠Periodic travel as required
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