Job Title: Senior / Lead Data Engineer – Snowflake Cortex & AWS Bedrock

Job Title: Senior / Lead Data Engineer – Snowflake Cortex & AWS Bedrock

Location: Remote
Job Type: Contract – W2
Rate: $50/hr W2
Experience: 7–11 Years
Openings: 2

Job Description

We are looking for experienced Senior/Lead Data Engineers with strong hands-on experience in Snowflake, AWS, Snowflake Cortex, and Amazon Bedrock to support highly available data and Generative AI platforms.

The ideal candidate will have a strong background in data platform engineering, cloud infrastructure, reliability, monitoring, automation, and production support, along with experience supporting AI/ML and GenAI workloads.

Key Responsibilities

• Design, deploy, monitor, and maintain highly available AWS, Snowflake, and GenAI platforms.
• Support Snowflake Cortex capabilities for AI/ML and Generative AI workloads.
• Work with Amazon Bedrock to integrate and operate foundation models and GenAI applications.
• Monitor infrastructure, applications, data pipelines, APIs, and AI workloads.
• Define and monitor SLIs, SLOs, and SLAs for critical services.
• Implement observability using AWS CloudWatch, logs, metrics, traces, and alerting.
• Troubleshoot production incidents and perform Root Cause Analysis (RCA).
• Participate in production support and incident management.
• Automate operational activities using Python, Shell scripting, Terraform, and AWS services.
• Build and maintain CI/CD pipelines for application, data, and AI workloads.
• Optimize Snowflake compute usage, query performance, warehouse utilization, and costs.
• Monitor and troubleshoot Snowflake data pipelines and workloads.
• Support AWS services including S3, Lambda, IAM, CloudWatch, ECS/EKS, API Gateway, and Secrets Manager.
• Implement security, access controls, encryption, secrets management, and least-privilege IAM.
• Monitor reliability and performance of LLM/GenAI applications using Amazon Bedrock.
• Track AI application metrics including latency, throughput, errors, token usage, and cost.
• Establish automated health checks, alerts, recovery mechanisms, and disaster recovery procedures.
• Collaborate with Data Engineers, ML Engineers, Developers, Architects, Product Managers, and business stakeholders.
• Continuously improve platform reliability through automation, observability, capacity planning, and performance engineering.

Required Skills

• 7–11 years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related roles.
• Strong hands-on experience with Snowflake.
• Experience with Snowflake Cortex.
• Hands-on experience with AWS Bedrock / Generative AI.
• Strong AWS experience with services such as S3, Lambda, IAM, CloudWatch, API Gateway, ECS/EKS, and Secrets Manager.
• Strong Python and/or Shell scripting skills.
• Experience with Terraform / Infrastructure as Code.
• Experience building and supporting CI/CD pipelines.
• Strong understanding of monitoring, observability, alerting, incident management, and RCA.
• Experience with Snowflake performance tuning, workload optimization, and cost management.
• Experience supporting production data pipelines and cloud platforms.
• Understanding of security, IAM, encryption, secrets management, and least-privilege access.
• Experience supporting AI/ML or GenAI workloads is highly preferred.

Preferred Qualifications

• Experience monitoring LLM/GenAI applications.
• Experience with Bedrock foundation models and GenAI integrations.
• Experience with AI application metrics such as token consumption, latency, throughput, error rates, and cost.
• Experience establishing SLIs, SLOs, and SLAs.
• Experience with disaster recovery, high availability, and capacity planning.

Note: W2 Only. OPT candidates are acceptable.