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Open nowPosted 12 hours ago

Data Architect

Evismart17 open roles

Where
Taguig
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Your applicationOpen nowData ArchitectEvismart · Taguig

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Evismart's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Evismart postings stay open a median of 10 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 12 hours ago

Evismart median: 10 days open

The posting

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.

You probably won't thrive here if:

  • 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.

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What happens when you press

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  1. A CV for this posting

    Written against Evismart's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Evismart's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Evismart's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

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