Data Solutions Architect

• Architect data lakes, warehouses, and lakehouse platforms on AWS
• Design scalable ETL/ELT pipelines for 800K+ daily claim records
• Implement dimensional modeling (star/snowflake) for healthcare analytics
• Build real-time streaming pipelines: Kafka (MSK), Flink, and Kinesis
• Define data governance: lineage, PII masking, catalog, and access policies
• Collaborate with AI/ML teams on feature stores and training data pipelines

• 8+ yrs in data engineering, 3+ yrs as data architect
• Deep AWS data services: S3, Glue, Redshift, Athena, Lake Formation
• Apache Spark (PySpark), Kafka, Flink streaming architectures
• Modern data stack: dbt, Airflow, Snowflake or Databricks
• Healthcare data (X12 EDI, FHIR, claims, pharmacy) a strong plus

• AWS S3 · Glue · Redshift · Athena
• Apache Spark · PySpark · Flink
• Kafka · AWS MSK · Kinesis
• dbt · Airflow · Snowflake · Databricks
• Terraform · Apache Iceberg · Delta Lake

The Data Solutions Architect designs enterprise data platforms for healthcare analytics, AI/ML, and real-time intelligence. The role spans AWS lakehouse architecture, high-volume data pipelines, streaming systems, data modeling, and governance, with collaboration across AI/ML teams.

Role at a glance

Skills mentioned

What you will likely work on

• Architect AWS-based data lakes, warehouses, and lakehouse platforms.
• Design scalable ETL/ELT pipelines for high-volume claims data.
• Develop dimensional models for healthcare analytics.
• Create real-time streaming pipelines using Kafka, Flink, and Kinesis.
• Establish data lineage, masking, cataloging, and access policies.
• Work with AI/ML teams on feature stores and training-data pipelines.

Good fit signals

• At least 8 years in data engineering and 3 years as a data architect are requested.
• Deep knowledge of AWS data services is expected.
• Experience with Spark and streaming architectures is relevant to the core work.
• Familiarity with modern data-stack tools such as dbt, Airflow, Snowflake, or Databricks aligns with the role.
• Healthcare data experience, including X12 EDI, FHIR, claims, or pharmacy data, is a strong plus rather than a stated requirement.