Innovative Solutions
AI Data Architect
Reports into Rochester, NY
Sponsorship not specified$150k-$200kDetected 384 days ago
PythonSQLNoSQLPostgreSQLElasticsearchDynamoDBSnowflakeRedshiftDatabricksAWSTerraformMachine LearningSparkData EngineeringRAGComplianceHIPAAHL7/FHIR
About the role
- As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS — from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M
- transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.
Responsibilities
- Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
- Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
- Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
- Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
- Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
- Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
- Design SageMaker ML pipelines for training, Model Registry, and inference
- Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
- one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search.
Requirements
- Required Skills:
Skills
- 5+ years professional IT experience, 2+ years professional AWS experience
- At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
- Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
- AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
- S3 data lake architecture with partitioning, lifecycle policies, and encryptions
- RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
- Amazon SageMaker for ML training, Model Registry, and inference
- AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
- Document AI with Amazon Textract and Comprehend
- Amazon Athena, QuickSight, or PowerBI integration
- Terraform or CloudFormation for data infrastructure as code
- Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration
Compensation
- $150k-$200k
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