Senior Data Engineer

Hi,Greetings!We are looking for Lead Data Engineer for our client in 100% Remote location.Below are more details on it. Please do let me know if you/your friends would be interested/available.Thank youPosition - Lead Engineer – Data Platforms, Performance & Agentic AILocation: Remote - EST time zoneMode: Long term contract Profile: Lead Engineer that owns the technical architecture - full stack, strong data and app performance experience, Agentic AI solid communication skillsIn this role, you will:End-to-End Solution Ownership & Product Engineering (40%)• Own delivery of complex, end-to-end engineering solutions—from data generation and ingestion through analytics, APIs, and user-facing experiences • Develop a deep understanding of business workflows, especially high-scale exam and operational systems • Partner with product, architecture, and engineering teams to shape requirements, define scope, and provide accurate level-of-effort estimates • Drive sprint planning, technical design discussions, and code/design reviews with a focus on speed, quality, and scalability Architecture, Data Engineering & Implementation (40%)• Lead design and implementation of scalable, high-performance, cloud-native data and application platforms • Architect data generation systems (synthetic, event-based, telemetry-driven) to support testing, analytics, and AI model development • Engineer high-performance systems, focusing on latency, throughput, resiliency, and cost efficiency • Implement robust observability, telemetry, and performance monitoring across all layers • Establish and enforce standards for automation, reliability, and performance engineering • Integrate AI-driven components (prediction, anomaly detection, intelligent insights) into production systems Agentic AI & AI-Driven Development (20%)• Design and build agentic AI systems that can autonomously reason, plan, and execute tasks across engineering workflows • Leverage LLMs and orchestration frameworks to enable intelligent automation in data pipelines, testing, and operations • Incorporate AI-assisted development practices, including code generation, code review augmentation, and developer productivity tooling • Evaluate and implement AI-native architectures, including tool-using agents, multi-agent systems• Ensure responsible, secure, and scalable deployment of AI capabilities in production environments Technical Leadership & Engineering Excellence • Act as a senior technical leader driving architectural decisions and solving complex system challenges • Mentor engineers across backend, data, performance, and AI domains • Champion engineering best practices in performance optimization, scalability, security, and reliability • Clearly communicate technical strategy, tradeoffs, and decisions to stakeholders Performance Engineering & Operational Readiness • Lead performance engineering efforts, including load testing, capacity planning, and system tuning • Build frameworks for data-driven performance benchmarking and optimization • Ensure systems meet strict SLAs for availability, latency, and scalability • Proactively identify risks and ensure readiness for high-stakes operational events About YouYou have:• 7+ years of experience building and operating scalable, distributed, cloud-native systems, including data platforms and APIs • Strong experience with end-to-end system design, from data generation to front-end delivery • Proven expertise in performance engineering, including profiling, load testing, and system optimization • Hands-on experience with backend technologies such as Node.js (TypeScript preferred) and Python, building APIs and event-driven systems • Strong experience designing and operating data pipelines and data platforms (real-time and batch) • Experience building modern front-end applications (React/TypeScript) for data-intensive interfaces • Deep knowledge of AWS services (Lambda, S3, Step Functions, SNS/SQS, Redshift, Athena, DynamoDB, etc.) • Experience with Infrastructure as Code (CDK, Terraform, CloudFormation) • Strong understanding of event-driven architectures, streaming, and telemetry systems • Experience implementing observability and monitoring solutions (e.g., Grafana or similar) • Experience with AI/ML systems in production, including model integration and operationalization AI & Modern Engineering Capabilities• Experience working with LLMs, agent frameworks, or AI orchestration tools • Familiarity with agentic workflows, autonomous system • Hands-on experience with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) and integrating them into development workflows • Understanding of RAG architectures, prompt engineering, and tool-augmented AI systems Nice to Have• Experience in high-scale, mission-critical environments with strict reliability requirements • Familiarity with cell-based or multi-tenant architectures • Experience designing systems for data isolation, security, and performance segmentation • Exposure to synthetic data generation or simulation systems • Experience with multi-agent AI systems or advanced automation pipelines • Experience with MCP servers and agents skills What We’re Looking For• Strong ownership mindset with the ability to drive end-to-end delivery • Deep focus on performance, scalability, and reliability • Curiosity and hands-on engagement with emerging AI technologies • Ability to operate effectively in a fast-moving, contract-based environment • Clear communication and strong collaboration across technical and non-technical stakeholders