Posted 1 day ago
Data Integrity Architect
AI Summary
Owns data integrity and architecture for a SaaS platform, leading two Data Engineers to ensure trusted, high-quality data that supports business decisions and AI initiatives.
About this role
Data Integrity Architect
• On-Site in BGC, Taguig City • Day Shift • Full-Time • In-House
Why EviSmart
300 people. Vancouver + Manila.
145% year-over-year SaaS growth - the market is responding.
28 countries. One platform. The dental industry’s Autopilot.
With an in-house AI R&D team building what comes next.
How We Work
We ship before certainty.
We document so we can move faster.
We debate hard, decide, then move forward.
We solve the customer’s real problem, not protect the process.
We see the problem. We challenge it. We own it. We fix it. We move.
We don't need someone who just builds pipelines.
We need someone who owns the truth behind the data.
Someone who asks why before deciding how.
Who understands the business before designing the architecture.
Who challenges bad requirements instead of blindly building them.
Who catches bad data before the business does.
Who can lead an incident, find the root cause, fix it, and make sure it doesn't happen again.
You need to be deeply technical: SQL, Python, Databricks, Azure, ETL/ELT, data modeling, governance, APIs.
But technical depth is only the baseline.
You need to connect: Business Problem → Data → Architecture → Execution → Outcome
You'll lead two Data Engineers while staying close enough to the work to challenge, troubleshoot, and make the hard technical calls.
Qualifications
You probably won't thrive here if:
- You wait for requirements.
- You wait for someone else to find the problem.
- You think architecture is mostly diagrams.
- You want to advise instead of own.
- You'd rather hand off a production incident than lead it.
Success is simple:
- The numbers match.
- The data is trusted.
- Problems are caught early.
- The architecture survives change.
- And the business gets answers before it has to ask.
- Problems are caught before users find them.
- Your engineers get stronger.
- Teams can answer their own questions.
- AI can use the same trusted foundation.
And when someone asks: "Can we trust this data?"
The answer is yes.
Additional Information
🌟 Work setup: FULL ONSITE, Monday to Friday
📍 Location: One World Place, BGC, Taguig City
💼 Employment Type: Full-time + Permanent
Get to know us more:
EviSmart
• https://www.instagram.com/evidentdigital/
• https://evismart.com/#work-flow-video
Skills
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