Data Integrity Architect

Nimbyx; Taguig; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

EviSmart, onsite at One World Place in BGC, Taguig, seeks a deeply technical Senior Data Engineer who can own the truth behind the data. You’ll connect business problems to data architecture, lead two engineers, and drive incident diagnosis and resolution.

You will work with SQL, Python, Databricks and Azure, implement robust ETL/ELT processes, and ensure data governance and trusted datasets across the organization.

Qualifications

• High-level data engineering expertise with a preference for data reliability and governance.
• Ability to connect business problems to data architecture and outcomes.
• Experience leading data teams or incidents.

Responsibilities

• Own the truth behind the data and ensure data quality.
• Lead two Data Engineers and challenge requirements.
• Identify root causes of incidents and implement fixes.
• Collaborate with business teams to translate needs into data solutions.
• Ensure data architecture supports scalable analytics.

Skills

SQL

Python

Databricks

Azure

ETL/ELT

Data modeling

Governance

APIs

Incident leadership

Tools

Databricks

Azure

APIs

Job description

Job Description:

Company Description

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.

Job Description

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