Solution Architect Id91260

Job Description AgileEngine is an Inc. ** 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.Requirements Strong hands-on experience with Databricks and PySpark.Advanced SQL and data-processing skills.Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.Experience with Delta Lake and modern data lake / lakehouse architectures.Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.Experience building reliable, scalable, production-grade data solutions.Strong analytical and troubleshooting skills.Understanding of software engineering practices including testing, version control, deployment, monitoring, and production support.

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., Requirements Strong hands-on experience with Databricks and PySpark. Advanced SQL and data-processing skills. Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery. Experience with Delta Lake and modern data lake / lakehouse architectures. Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality. Experience building reliable, scalable, production-grade data solutions. Strong analytical and troubleshooting skills. Understanding of software engineering practices including testing, version control, deployment, monitoring, and production support.

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.

Job Description AgileEngine is an Inc. ** 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!