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Data Solution Architect

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Design the Enterprise Data Platform architecture around reusable, config-driven components

  • Define how components are configured and executed through metadata rather than custom code

  • Design clear, consistent APIs for the platform and its components

  • Set standards for packaging and versioning components for reuse across teams

  • Turn existing data science pipelines into modular platform components

From the employer’s posting
Build the platform around reusable, config-driven components that can be combined into end-to-end workflows
Define how components are configured, connected, and executed through metadata rather than custom code
Design clear, consistent APIs for the platform and its components
Set standards for packaging and versioning components so they can be shared and reused across teams
Turn existing data science pipelines into modular platform components

What you’ll bring

All qualifications

Core experience

  • 7+ years of experience in software architecture
  • Expertise in Python packaging, including building, versioning and distributing libraries
  • Experience designing and implementing metadata-driven pipelines
  • Proficiency in API design with clean, well-documented interfaces
  • English at Upper-Intermediate (B2) level or higher
Qualification wording
7+ years of experience in software architecture
Expertise in Python packaging, including building, versioning, and distributing reusable libraries
Experience designing and implementing metadata-driven pipelines
Proficiency in API design, with a focus on clean, consistent, and well-documented interfaces
English proficiency at an Upper-Intermediate level (B2) or higher

Tools in this posting

  • Python
Source — Tool mentions in context
We are seeking an experienced Data Solution Architect to lead the design and architecture of our Enterprise Data Platform (EDP). In this role, you will shape the foundation of a scalable, modular, and reusable platform that empowers data science teams to deliver production-ready solutions efficiently. You will be responsible for defining architectural standards, establishing best practices, and transforming experimental data science workflows into robust, standardized building blocks. This is a strategic position for a forward-thinking architect who thrives on solving complex problems, driving innovation, and enabling cross-team collaboration through thoughtful platform design. Responsibilities Design the architecture of the Enterprise Data Platform (EDP) Build the platform around reusable, config-driven components that can be combined into end-to-end workflows Define how components are configured, connected, and executed through metadata rather than custom code Design clear, consistent APIs for the platform and its components Set standards for packaging and versioning components so they can be shared and reused across teams Turn existing data science pipelines into modular platform components Requirements 7+ years of experience in software architecture Expertise in Python packaging, including building, versioning, and distributing reusable libraries Experience designing and implementing metadata-driven pipelines Proficiency in API design, with a focus on clean, consistent, and well-documented interfaces Showcase of productizing data science pipelines into modular, reusable components Capability to transition data science work from one-off scripts and notebooks to production-ready, standardized building blocks English proficiency at an Upper-Intermediate level (B2) or higher

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 55.

From 8,341 similar postings that came down. Coming down is not always a hire.

EPAM Systems is hiring

660 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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Has EPAM Systems posted this job before?

Yes. We’ve followed 13 other Data Solution Architect jobs there since November 2026. All 13 are still up.

  1. Place not statedStill up after 6 days, first seen Nov 1
  2. Place not statedStill up after 6 days, first seen Nov 1
  3. Place not statedStill up after 6 days, first seen Nov 1
  4. Place not statedStill up after 6 days, first seen Nov 1
  5. Place not statedStill up after 6 days, first seen Nov 1
  6. Place not statedStill up after 6 days, first seen Nov 1
  7. Place not statedStill up after 2 days, first seen Nov 5
  8. Place not statedStill up after 2 days, first seen Nov 5
  9. This jobUp 2 days so far, first seen Nov 5

Large employers often post one title for several teams, so these can be separate openings.

About EPAM Systems

People
About 3,012 in 2024.Benefit plan filings (Form 5500)
Company
Listed as EPAM.
H-1B visas
21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,205, and the latest week had 836.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

We are seeking an experienced Data Solution Architect to lead the design and architecture of our Enterprise Data Platform (EDP). In this role, you will shape the foundation of a scalable, modular, and reusable platform that empowers data science teams to deliver production-ready solutions efficiently. You will be responsible for defining architectural standards, establishing best practices, and transforming experimental data science workflows into robust, standardized building blocks. This is a strategic position for a forward-thinking architect who thrives on solving complex problems, driving innovation, and enabling cross-team collaboration through thoughtful platform design. Responsibilities Design the architecture of the Enterprise Data Platform (EDP) Build the platform around reusable, config-driven components that can be combined into end-to-end workflows Define how components are configured, connected, and executed through metadata rather than custom code Design clear, consistent APIs for the platform and its components Set standards for packaging and versioning components so they can be shared and reused across teams Turn existing data science pipelines into modular platform components Requirements 7+ years of experience in software architecture Expertise in Python packaging, including building, versioning, and distributing reusable libraries Experience designing and implementing metadata-driven pipelines Proficiency in API design, with a focus on clean, consistent, and well-documented interfaces Showcase of productizing data science pipelines into modular, reusable components Capability to transition data science work from one-off scripts and notebooks to production-ready, standardized building blocks English proficiency at an Upper-Intermediate level (B2) or higher
Source details

View original posting ↗

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