Data Integrity Architect

We dont 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 doesnt 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

Youll lead two Data Engineers while staying close enough to the work to challenge troubleshoot and make the hard technical calls.

Qualifications :

You probably wont 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.
• Youd 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 
  Work :

No

Employment Type :

Full-time