Remote BI & Data Architect — Cloud Lakehouse & AI Ready

Siri InfoSolutions Inc

Seattle (WA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Siri InfoSolutions Inc is seeking a BI / Data Architect to design and implement scalable lakehouse architectures remotely across the United States. You will lead the definition of standards, governance, and roadmaps while building robust data layers and ingestion pipelines using Iceberg, Spark, Flink, Kafka, and dbt.

The role emphasizes cloud-based data platforms across AWS/Azure/Google Cloud, with strong focus on metadata, security, and performance optimization enabling AI-ready workloads.

Responsibilities

  • Define enterprise lakehouse architecture, standards, governance, and implementation roadmap.
  • Design and build Apache Iceberg-based Bronze, Silver, and Gold data layers.
  • Develop ingestion frameworks for batch, streaming, CDC, APIs, and event-driven integrations.
  • Build scalable Spark, Flink, Kafka, dbt, SQL, and Python pipelines.
  • Implement metadata management, cataloguing, lineage, RBAC , encryption, branding? (typo?)
  • Optimize partitioning, compaction, snapshots, metadata, and query performance.
  • Enable AI-ready semantic layers, feature engineering, RAG, and GenAI workloads.
  • Implement Infrastructure as Code, CI/CD, monitoring, and observability.

Tools

Apache Iceberg
Spark
Flink
Kafka
dbt
Trino
Snowflake
Databricks
AWS
Azure
Google Cloud
Python
Scala
SQL
Java
Kubernetes
Docker
Terraform
Airflow
Dagster
Prefect
Polaris
Unity Catalog
Glue Catalog
Apache Nessie

Job description

Siri InfoSolutions Inc is seeking a BI / Data Architect to design and implement scalable lakehouse architectures remotely across the United States. You will lead the definition of standards, governance, and roadmaps while building robust data layers and ingestion pipelines using Iceberg, Spark, Flink, Kafka, and dbt.

The role emphasizes cloud-based data platforms across AWS/Azure/Google Cloud, with strong focus on metadata, security, and performance optimization enabling AI-ready workloads.

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