Design end-to-end AWS-based data and AI architecture. Lead batch-oriented data processing and orchestration. Define AI/ML architecture with explainability and auditability. Establish data governance and scalability guidelines. Provide technical direction across data, AI, and integration layers.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Title: Architect – Data Science/Big Data
Location: Bulgaria/Poland (100% remote)
Years of exp.: 15+ years
Project Duration: 6 months + extension
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Key Responsibilities:
- Define end-to-end AWS-based data and AI architecture leveraging Glue, Step Functions, S3, Aurora, DynamoDB, Neptune, and OpenSearch
- Design batch-oriented data processing architecture and orchestration workflows
- Lead graph-based relationship modeling using Neptune
- Define AI/ML architecture with explainability and auditability
- Establish data governance, standards, and scalability guidelines
- Provide technical direction across data, AI, and integration layers
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Key Focus Update:
Strong emphasis on batch-first architecture and pipeline orchestration
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