Data Architect

Responsibilities

• Unified Data Warehouse - own the single repository where all organizational data lands, normalized and structured to a governed schema. Every data consumer - CS, RevOps, ML-Ops, the Business Brain - reads from the same warehouse. All schema changes go through you.
• Data Quality Monitoring - own the monitoring and alerting layer that catches quality issues before any downstream team discovers them. A quality issue reported by CS, RevOps, or ML-Ops is a monitoring failure, not a discovery mechanism.
• Data Platform Roadmap - you are the first to know when a pipeline is degrading, a schema decision is creating downstream fragmentation, or a new data source is being built around governance instead of through it. You act before it becomes a data incident or an engineering rework.
• DATA SOURCES YOU OWN
• Source
• What You Capture & Why
• Evident Design Portal
• Case activity, lab interactions

Benefits

Additional Information

EviSmart Data Architect Most data roles give you one system to maintain. This one gives you the entire intelligence layer - every source, every schema, every signal - for a platform running live across 28 countries. 📍 BGC, Taguig, Philippines - On-site - Full-Time WHAT EVISMART IS BUILDING EviSmart is the leading dental Autopilot system operating across 28 countries in a $40B healthcare industry - and the Manila team builds and ships it. Not an MVP. Not a pilot. Live, in production, with thousands of dental labs and dentists depending on the platform every day to run their business. We have multiple in-house AI teams building the next generation of dental design automation - and Manila is where it gets operationalized. We are one of the few genuinely AI-first companies in the Philippines. The models are being built here. The product is scaling here. The opportunity is here. WHY THIS ROLE, WHY NOW The AI layer for the dental industry has not been built yet. The product is proven, but the roadmap is wide open. The Business Brain - EviSmart's operational intelligence layer - requires a clean, governed, unified data foundation to surface insights, flag anomalies, and drive automated decisions. That foundation does not fully exist yet. This role builds it. The person who joins now as Data Architecture Engineer doesn't inherit a finished system. Every pipeline, every schema standard, every governance gate - they define what it looks like. The ML-Ops training pipeline, the Business Brain, and the KPI automation layer that the engineering team runs on are all downstream of this role. The data platform that gets built in the next 12 months is the infrastructure every AI and intelligence feature depends on. That architecture is yours to own. Early joiners grow with the company. That is not a slogan - it is how every senior role here got built. WHY EVISMART Leading dental Autopilot system in a $40B global healthcare industry - operating across 28 countries, live in production Multiple in-house AI teams building proprietary models - not just consuming APIs. Claude, Cursor, Luvable, and LLM-powered workflows are part of the daily stack Manila is not a back office. It is the delivery engine - operations, AI, product, and engineering all run from here. Your work ships globally We promote based on output, not tenure. The people who move fastest here are the ones who own their work completely 300+ people and growing - the career path is real because the company is growing into it The data platform is one of the highest-leverage positions on the engineering team - and right now, it is being built from the ground up. We need someone who thinks in schemas before they think in code. Someone who loses sleep over an inconsistently named column not because they were told to care, but because they know that inconsistency compounds. If you are the kind of engineer who builds monitoring that catches the problem before even asked- that is who we want in this seat.

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