AWS Data Architect – Distributed Cloud

About the role

Design scalable and sustainable data architectures for modern cloud‑based data products. Provide architectural guidance on data platforms, processing, integration, warehousing, and cloud infrastructure.

Key responsibilities

• Design scalable and sustainable data architectures for modern cloud‑based data products.
• Provide architectural guidance on data platforms, processing, integration, warehousing, and cloud infrastructure.
• Support data teams across the full lifecycle, from solution design and prototyping to production.
• Define best practices for data pipelines, orchestration, streaming, and data integration.
• Contribute to data mesh and event‑driven architecture initiatives.
• Lead solution design discussions and document architectural decisions.
• Ensure solutions are aligned with technical standards, business requirements, and scalability needs.

Required profile

• Experience as a Senior Data Engineer, Data Architect, or Solution Architect in an AWS cloud environment.
• Strong knowledge of end‑to‑end data architecture, including ingestion, transformation, storage, processing, and governance.
• Hands‑on experience with Snowflake, Spark, and Kafka.
• Experience with at least one streaming technology such as Spark Structured Streaming, Flink, or Kafka Streams.
• Experience with CI/CD, Terraform, and DevOps practices.
• Knowledge of Data Mesh, Event‑Driven Architecture, and Domain‑Driven Design.
• Experience with APIs, metadata management, data cataloguing, and governance.

Required skills

• AWS
• Snowflake
• Spark
• Kafka
• Spark Structured Streaming
• Flink
• Kafka Streams
• CI/CD
• Terraform
• DevOps
• Data Mesh
• Event‑Driven Architecture
• Domain‑Driven Design
• Dagster
• dbt
• AWS Glue