Data Architect

Euna Solutions•Dunwoody, GA

2d•Hybrid

About The Position

Euna Solutions is building a modern data foundation, and we need the architect who will define it. You'll set the reference architecture, engineering patterns, and governance posture for an entire data program — then roll up your sleeves and build alongside the team when it matters. If you thrive on designing things right the first time and handing durable patterns to engineers who can run with them, this is your engagement. We believe the future of work is human + AI. At Euna Solutions, we encourage our team members to leverage AI tools to enhance creativity, efficiency, and decision-making. We’re looking for people who are curious about emerging technologies, eager to experiment, and committed to using AI responsibly to augment—not replace—their expertise. If you enjoy exploring new ways to solve problems, learning continuously, and applying AI to make your work smarter and more impactful, you’ll thrive here. At Euna Solutions, we carefully foster a work environment where employees have a safe space for creative and intellectual freedom, and the opportunity to work cross-functionally. We offer a dynamic environment with considerable opportunities for professional growth and advancement. Euna Solutions® is the leading provider of purpose-built, cloud-based software designed to streamline procurement, budgeting, payments, and grants management for public sector and government organizations. Euna’s AI-powered features and intelligent automation help organizations make better-informed decisions, ensure compliance, empower collaboration, and reduce administrative burden. Euna’s full-cycle financial suite supports more than 3,600 organizations across North America in building trust, enabling transparency, and driving positive community impact. Recognized on Government Technology’s GovTech 100 list, Euna Solutions is committed to advancing public sector innovation. To learn more, visit www.eunasolutions.com. Euna's privacy policy is available here. We believe in embracing new perspectives and optimizing impact. If you have relatable experience and relevant transferable skills but feel you may be missing a few of the requirements, we encourage you to apply! We recognize that people have unique career journeys and if you're excited about this role and know you can bring something great to the team, then we want to hear from you. Please know Euna Solutions is committed to providing a comfortable and accessible interview process for every candidate. If there are any accommodations our team can make throughout our hiring process (big or small), please let us know.

Requirements

Senior data architecture experience with production AWS systems, including S3-based lake or lakehouse designs and a governed analytical layer
Deep fluency with medallion or layered data architectures and the governance controls that ride across them
Experience designing contextual or semantic data layers that reduce GenAI token consumption so downstream AI features run faster and cost less
Hands-on knowledge of managed AWS data services — Glue, Athena, Lake Formation, DMS or equivalent — with a strong bias toward managed over self-run
Proven experience designing for data classification, PII handling, access control, lineage, and residency, ideally in a regulated or public sector context
The judgment to build just enough: you can define a blueprint without over-engineering it, defer what the backlog doesn’t yet need, and hand off clean, documented patterns a small team can execute against

Nice To Haves

Familiarity with dbt and warehouse-side modeling (e.g. Redshift) and with low-code orchestration such as n8n
Experience with Canadian data residency requirements and multi-region AWS deployments
A track record of standing up governance from day one rather than retrofitting it later

Responsibilities

Define a managed AWS reference architecture that delivers reliability without requiring a large team to operate it
Specify the layered data model — raw to cleansed to curated to a fully safe analytical layer that holds no sensitive data — so the program never becomes a data swamp
Establish governance across every layer: data classification, constituent PII handling, access control, lineage, and residency
Create reusable engineering patterns for capture, land-and-store, transform-and-serve, and govern, so every team building data products assembles them consistently instead of reinventing plumbing
Design loose coupling from operational systems using change-data-capture or scheduled extracts, without creating hard dependencies on their roadmaps
Set the two-speed guardrail — make the governed, pattern-based path the default and define the narrow criteria under which a low-code workflow is permitted
Drop into delivery and build data products yourself when the team needs the extra hands