Solution Architect ID91260

AgileEngine 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 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 transformation goals into scalable, secure architecture decisions and delivery roadmaps, working directly with 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 executives, enterprise architecture teams, and security stakeholders.

- Operate within a controlled toolchain and security constraints, including 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 controlled toolchain, including adapting to 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 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 AND BENEFITS

- Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.