Live opening · Posted 7 days ago
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About the role
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Data Solution Architect
Remote
Experience: 8+ yrs in Data engineering, 3+ yrs as Data architect
Share your CV at SANJAY.C@ELITESQUAD.AI
THE ROLE
Design modern, HIPAA-compliant enterprise data platforms powering analytics, AI/ML workloads, and real-time intelligence for health plans, PACE organizations, and pharma clients. You'll own the full data stack — from lakehouse architecture to streaming pipelines handling millions of daily pharmacy claims.
KEY RESPONSIBILITIES
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
WHAT WE'RE LOOKING FOR
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
CORE TECHNOLOGIES
AWS S3 · Glue · Redshift · Athena
Apache Spark · PySpark · Flink
Kafka · AWS MSK · Kinesis
dbt · Airflow · Snowflake · Databricks
Terraform · Apache Iceberg · Delta Lake
Required Skills
Glue, Redshift, Healthcare data, Athena, Kafka, AWS S3, Snowflake
Work arrangement
Yes
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