Data Integrity Architect

Nimbyx

Makati

On-site

PHP 1,800,000 - 2,400,000

Full time

4 days ago
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Job summary

EviSmart is hiring a Senior Data Engineer to own and drive data initiatives on-site in Taguig. You will lead two Data Engineers, design robust data pipelines, and ensure trusted data informs business decisions.

You’ll work with SQL, Python, Databricks, and Azure, focusing on governance, data modeling, and APIs to deliver outcomes that scale across the organization.

Qualifications

  • Strong SQL and Python development for data pipelines.
  • Experience with Databricks and Azure data services.
  • Hands-on ETL/ELT design and implementation.
  • Data modeling and governance practices.
  • Experience building and consuming APIs.

Responsibilities

  • Lead two Data Engineers and make hard technical calls.
  • Own data quality, incident response, and root-cause fixes.
  • Align data architecture with business problems and outcomes.

Skills

SQL
Python
Databricks
Azure
ETL/ELT
Data modeling
Governance
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.

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
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