Solutions Architect
Hi there! 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 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 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
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video
Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates
If it’s a match—you’ll get an offer!
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