Solution Architect

ID91260AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why join us: If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the roleWe 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 doDesign 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 haves10+ 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
• Meet Our Recruitment Process
• Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

Short online form to confirm basic requirements30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.5-minute introduction video

Synchronous stage – Live interviews:

Technical interview with our engineering team (scheduled at your convenience)

Final interview with your future teammatesIf it's a match — you'll get an offer!