Data Architect

The role

The Data Architect will lead the data architecture for a federal modernization initiative. This person will define and guide the implementation of a modern AWS lakehouse to consolidate various data types into a governed canonical model.

What you will do

• Serve as the primary architecture authority for the data workstream.
• Define the end-to-end data architecture spanning ingestion, processing, and downstream services.
• Design the lakehouse architecture using Amazon S3, Apache Iceberg, AWS Glue Catalog, and DuckDB.
• Define reusable patterns for various ingestion methods.
• Establish a metadata-driven architecture for source onboarding and mappings.
• Define and govern the common canonical data model.
• Establish data contracts and standards for lineage, provenance, and quality.
• Define architecture patterns for agentic solutions.
• Establish controls for agentic workflows.
• Coordinate architecture across structured, document, vector search, and geospatial data.

Required qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical discipline.
• 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.

Nice to have

• Experience with Kafka or Amazon MSK and CDC architectures.
• Experience with OpenSearch, vector databases, embeddings, or document retrieval systems.
• Experience with agentic frameworks such as LangChain, LangGraph, or similar orchestration frameworks.
• Experience designing geospatial data architectures using GeoParquet and PostGIS.
• Experience with Salesforce, ServiceNow, Microsoft Dataverse, or similar enterprise platforms.
• Experience working in the U.S. Federal Government space.
• Experience with permitting, land management, environmental, energy, or natural-resource datasets.

Benefits

• medical, dental and vision coverage
• 401k plan with employer contribution
• paid holidays
• vacation
• tuition reimbursement

About the company

blackcanyonconsulting is a high performing, professional service and technology focused organization.