Data Architect

EviSmart; Taguig; In loco; PHP 2.400.000 - 3.000.000; Tempo pieno

Descrizione del lavoro

EviSmart is seeking a Hands-on Data Engineering & Platform Leadership role in Manila. You will own the end-to-end data platform, trace data through Bronze-Silver-Gold layers, and ensure reliability.

You will lead a small team of Data Engineers and a Data Analyst, linking business needs to practical engineering decisions and architectures. You’ll evaluate existing code, diagnose issues, and translate high-level problems into actionable engineering work, driving trustworthy analytics across the

Competenze

• Recent experience in hands-on data engineering and architecture leadership.
• Proven ability to trace data flows, diagnose issues, and fix data pipelines.
• Experience designing and communicating architecture to non-technical stakeholders.
• Background leading small teams of engineers and analysts.
• Strong focus on reliability and end-to-end data trust.

Mansioni

• Lead a small team of Data Engineers and a Data Analyst.
• Identify missing pieces, fix defects, and improve reliability of the data platform.
• Trace data lineage from sources to consumption layers and ensure consistency.
• Make architectural decisions and explain rationale to non-technical audiences.
• Ensure source systems connect and all layers operate smoothly.

Conoscenze

Data engineering

Azure Data Lake

Medallion Architecture

Data warehousing

Team leadership

Strumenti

Azure Data Lake

Descrizione del lavoro

Hands-On Data Engineering & Platform Leadership

We don't need someone who just knows how a data warehouse should work.

We need someone who's actually built one.

Someone who can open the code, trace the data, understand what's broken, and know what needs fixing.

Someone who's worked hands-on with Azure Data Lake, data warehousing, and Medallion Architecture (Bronze → Silver → Gold).

Our architecture already exists.

Your job is to find what's missing, fix what isn't working, and make the entire thing reliable.

You need to be able to do two things exceptionally well.

Understand the business.

Take a high-level problem, challenge what doesn't make sense, and translate it into something engineers can actually build.

Understand the engineering.

Get into the code, understand the technical details, make the right architectural decisions, and explain them to someone who doesn't write code.

You’ll lead a small team of Data Engineers and a Data Analyst, but this is not a role where you simply delegate the technical work.

• Your recent experience is mostly management or advisory work.

• You can design architecture but haven't built or debugged it yourself.

• You need detailed technical instructions before you can act.

• You can explain the technology but not why it matters to the business.

• You think your responsibility ends when the data reaches the warehouse.

What success looks like

Every source connects.
Every layer works.
Every team gets the data it needs.
The numbers match.
And AI can trust what's underneath.

When someone asks, "Can we trust this data?"

The answer is yes.