Principal Software Developer – AI Data Architect
Tasks
- Architect data ingestion normalization and interoperability patterns
- Create reference implementations for data product adoption
- Define data governance retention tenant isolation and access controls
- Define enterprise data architecture standards
- Design data quality lineage and observability standards
- Establish modeling standards and guardrails
- Lead AI ready data platform architecture and delivery
- Mentor and guide engineering teams on data engineering practices
- Oversee data platform re architecture and schema modernization
Perks/Benefits
- Flexible work options
- Generous time-off policies
- Health insurance
- Opportunities for career growth
- Recognition programs
- Remote opportunities
- Retirement plans
Skills/Tech-stack
AI Platform | AI Platform Integration | AWS AgentCore | AWS Bedrock | AWS Glue | AWS Glue Catalog | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon DocumentDB | Amazon EKS | Amazon ElastiCache | Amazon ElastiCache for Redis | Amazon S3 | Apache Iceberg | CI/CD | Data Contracts | Data Governance | Data Lineage | Data Observability | Data Quality | DynamoDB | ELT | EMR Serverless | ETL | ETL on EMR | Glue Catalog | Infrastructure as Code | Kafka | LLM | Lake Formation | Lakehouse Architecture | Langfuse | Langgraph | MCP | MapReduce | Medallion Architecture | Microsoft SQL | Microsoft SQL Server | MongoDB | OpenSearch Serverless | PGVector | Platform integration | PostgreSQL | PubSub | RAG | S3 Express | S3 Vector Storage | SNS | SQL Server | SQS | Schema evolution | Spark | Step Functions | Trino | Valkey | Vector Databases | Vector storage | “as-code”
Education
N/A
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