About the role

We are looking for a Solution Architect to lead the technical design of a large-scale GCP data platform for an enterprise telecommunications client. You will define a lakehouse and medallion architecture using BigQuery, Dataflow, and Pub/Sub, working as an independent technical voice alongside senior client architects. The role starts part-time and scales to full-time.

What you will do

  • Design and own the target-state lakehouse/medallion architecture for a multi-petabyte GCP data platform (BigQuery, GCS, Dataflow, Pub/Sub) supporting thousands of pipelines and hundreds of thousands of tables.
  • Translate the client's transformation goals into scalable, secure architecture decisions and delivery roadmaps, working directly with client architects and engineering leadership.
  • Define architecture for ingestion, transformation, curation, dataset registration/cataloging, governance, and analytics-serving layers (BigQuery as serving layer, dbt/Looker for transformation and reporting).
  • Advise on migration strategy for legacy ETL pipelines — including undocumented, proprietary legacy tooling — into modern GCP-native or open lakehouse patterns.
  • Evaluate and help select ingestion/transformation tooling (e.g. Fivetran, dbt, Airflow/Composer, NiFi) as part of ongoing technology proofs of concept.
  • Define data governance and cataloging strategy aligned with GCP's native catalog capabilities (e.g. Dataplex, BigQuery universal catalog), including metadata, lineage, and access-control design.
  • Act as senior technical reviewer for the squad's engineers, ensuring architectural consistency, security compliance, and long-term maintainability.
  • Present and validate architecture decisions to client executives, enterprise architecture teams, and security stakeholders.
  • Operate within the client's controlled toolchain and security constraints, including client-approved AI-assisted development environments.

Must haves

  • 10+ years of experience in data architecture, solution architecture, or enterprise systems architecture.
  • Strong, hands-on experience architecting data platforms on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS) at enterprise / multi-petabyte scale.
  • Proven experience designing lakehouse or medallion architectures (bronze/silver/gold layering or equivalent).
  • Experience defining enterprise data governance frameworks — data quality, lineage, metadata management, access controls, cataloging.
  • Experience advising on or leading migration of legacy ETL/data platforms to modern cloud-native architectures.
  • Strong understanding of data ingestion and transformation tooling such as Fivetran, dbt, Apache Airflow/Composer.
  • Experience working directly with enterprise clients as a trusted technical advisor, able to challenge and be challenged by client architects rather than simply execute a defined scope.
  • Comfortable operating inside a large, security-conscious enterprise with a client-controlled toolchain, including adapting to client-approved (rather than personally preferred) AI-assisted development tools.
  • Excellent communication and presentation skills — able to explain complex architecture to technical, business, and executive audiences.
  • Fluent English, comfortable in a client-facing role daily.
  • Willingness to travel occasionally (a few days at a time) to the client's UK office.

Nice to haves

  • Experience with BigLake / Iceberg-based lakehouse patterns.
  • Experience with Google Dataplex or BigQuery's universal data catalog.
  • Familiarity with legacy ETL platforms such as Ab Initio, Informatica, or similar proprietary tools, particularly reverse-engineering pipelines built on them.
  • Experience with AI-assisted, spec-driven development tools such as Amazon Kiro or comparable environments.
  • Telecommunications sector experience (not required, but relevant given the scale).
  • Google Cloud certification (Professional Data Engineer / Professional Cloud Architect).
  • Experience working within Scrum/SAFe delivery frameworks.

Perks

  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location

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Hiring process timeline

We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.

lightning-iconA quick note

After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.

1

Tell us about yourself

Submit a short application form.

2

Pass a quick test

Pass a 30’- 60’ test.

3

Record a short video

Introduce yourself on video to fast-track your application process.

4

Meet our team

Once you pass the video review, grab a spot on our calendar for a technical interview.

5

Get an offer

Welcome to AgileEngine!

FAQ

Have any questions?

What is the work format and schedule?

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.

What level of English is required?

We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.

Does AgileEngine provide work equipment?

It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.

What opportunities for professional growth do you offer?

We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:

  • An annual learning and development budget
  • Internal workshops, tech talks, and mentorship programs
  • Opportunities to switch projects or grow into new roles over time

What does a typical team look like, and what tools do you use?

Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.

For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.

Need help?

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