Data Architect

Euna Solutions

. Define a managed AWS reference architecture for the data program .

Posted 11/6/2026contractAtlanta • Georgia • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining AWS reference architectures and layered data models while ensuring data governance and compliance. Proficient in creating reusable engineering patterns and designing data products to support analytical needs.

Highest-signal resume keywords

Senior Data Architecture ExperienceAWS Data Services KnowledgeMedallion Data Architecture FluencyData Classification and PII HandlingLow-Code Orchestration Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS Reference ArchitectureLayered Data ModelsData GovernanceContextual Data LayersChange Data CaptureData ClassificationPII HandlingDocumented PatternsData Lake DesignWarehouse-Side Modeling

Soft Skills

Blueprint DefinitionTeam Collaboration

Tools & Technologies

AWS GlueAWS AthenaAWS Lake FormationAWS DMSDbtN8n

Industry Keywords

Regulated Sector ExperienceCanadian Data Residency RequirementsMulti-Region AWS Deployments

Tech Stack

Tools & technologies

Amazon RedshiftAWS

About the role

Key responsibilities & impact

Define a managed AWS reference architecture for the data program
Specify layered data models from raw through cleansed and curated data to a safe analytical layer without sensitive data
Establish governance covering data classification, constituent PII handling, access control, lineage, and residency
Create reusable engineering patterns for capture, land-and-store, transform-and-serve, and governance
Design loose coupling from operational systems using change-data-capture or scheduled extracts
Establish criteria for governed, pattern-based workflows and permitted low-code workflows
Build data products directly when additional delivery support is needed

Requirements

What you’ll need

Senior data architecture experience with production AWS systems
Experience with S3-based lake or lakehouse designs and a governed analytical layer
Deep fluency with medallion or layered data architectures
Experience designing contextual or semantic data layers to reduce GenAI token consumption
Hands-on knowledge of managed AWS data services, including Glue, Athena, Lake Formation, and DMS or equivalent
Experience with data classification, PII handling, access control, lineage, and residency
Experience ideally in a regulated or public sector context
Ability to define practical blueprints without over-engineering
Ability to hand off clean, documented patterns to a small team
Familiarity with dbt and warehouse-side modeling such as Redshift
Familiarity with low-code orchestration such as n8n
Experience with Canadian data residency requirements and multi-region AWS deployments is a nice-to-have

Benefits

Comp & perks

Hybrid work arrangement
Eunafier Days: extra day added to a long weekend twice a year
Up to eight hours of paid philanthropy time per year
Professional development budget, mentorship, and opportunities for advancement
Accessible interview process and accommodations upon request