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Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s 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
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
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
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
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
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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.
660 open jobs
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Yes. We’ve followed 13 other Data Solution Architect jobs there since November 2026. All 13 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
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.
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.
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.
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