Data Architect
New
A
AgileEngineTelecommunications data
Workplace type: remote; Locations: Kraków, Olszańska St, 7, Warszawa, 00-002, Porto, 4000-000, Madrid, 28022, Poznań, 60-001, Kraków, Country code: PLPart-TimeManager
Salary not disclosed
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Job Details
- Languages
- Fluent English; Languages: en B2
- Experience
- 10+ years of experience in data architecture, solution architecture, or enterprise systems architecture.
- Required Skills
- Apache AirflowGCPBigQuerydbt
Requirements
- Have 10+ years of experience in data architecture, solution architecture, or enterprise systems architecture.
- Bring hands-on experience architecting enterprise-scale Google Cloud Platform data platforms using BigQuery, Dataflow, Pub/Sub, and GCS.
- Have experience designing lakehouse or medallion architectures, including bronze/silver/gold layering or equivalent.
- Have experience defining enterprise data governance frameworks covering data quality, lineage, metadata, access controls, and cataloging.
- Have experience advising on or leading migration of legacy ETL or data platforms to modern cloud-native architectures.
- Understand data ingestion and transformation tools such as Fivetran, dbt, and Apache Airflow/Composer.
- Have experience serving as a trusted technical advisor to enterprise clients and working directly with client architects.
- Be comfortable working within security-conscious enterprise toolchains and client-approved AI-assisted development environments.
- Be able to explain complex architecture to technical, business, and executive audiences.
- Be fluent in English and comfortable in a daily client-facing role.
- Be willing to travel occasionally for a few days at a time to the client's UK office.
Responsibilities
- Design and own the target-state lakehouse/medallion architecture for a multi-petabyte GCP data platform.
- Translate client transformation goals into scalable, secure architecture decisions and delivery roadmaps.
- Define architecture for ingestion, transformation, curation, dataset registration and cataloging, governance, and analytics-serving layers.
- Advise on migration of legacy ETL pipelines to modern GCP-native or open lakehouse patterns.
- Evaluate ingestion and transformation tools, including Fivetran, dbt, Airflow/Composer, and NiFi.
- Define data governance and cataloging strategy, including metadata, lineage, and access-control design.
- Review engineers' work for architectural consistency, security compliance, and maintainability.
- Present and validate architecture decisions with client executives, enterprise architecture teams, and security stakeholders.
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