Description

Design the architecture for enabling ad hoc data analysis and business question answering.

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Define the architecture for transitioning successful CWS/ad hoc solutions into standardized production pipelines.

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Establish technical standards for security, scalability, performance, observability, governance, and cost optimization.

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Lead technical POCs and architecture validation.

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Work closely with GenAI, Data, Full-Stack, and DevOps engineers.

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Review code and technical implementations and ensure alignment with architectural standards.

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Provide hands-on contribution to critical components and technical challenges.

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Evaluate and recommend appropriate AWS and open-source technologies.

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Lead architecture reviews and communicate technical decisions to stakeholders.

Required Skills

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12+ years in software engineering and solution architecture.

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Strong hands-on experience in AWS Cloud.

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Strong knowledge of Data Lake, ETL/ELT, APIs, microservices, and cloud-native architecture.

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Experience with GenAI, LLM, RAG, or Agentic AI architectures.

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Strong programming experience in Python, Java, .NET, or similar.

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Strong understanding of SQL and data architecture.

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Experience with CI/CD and DevOps practices.

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Experience designing enterprise-grade scalable applications.

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Strong communication and technical leadership skills.

Preferred

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AWS certifications such as Solutions Architect / DevOps Engineer.

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Experience with Amazon Bedrock or similar GenAI platforms.

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Experience with Terraform and Infrastructure as Code.

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Experience with enterprise data governance and security

Key Skills

Education

Bachelor's degree