AmpliFund's cloud-based SaaS Grant Management Solution (GMS) empowers funders and recipients to streamline processes, centralize data and documentation, facilitate quantitative and qualitative reporting, and maximize impact. Backed by Jumpstart Ventures.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
The Opportunity
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.
What You'll Do
- 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...
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