XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights.
We deliver innovation through:
Akira AI – Building Agentic Systems for AI Agents
XenonStack Vision AI – Vision AI Platform
NexaStack AI – Inference AI Infrastructure for Agentic Systems
Our mission is to help enterprises transform into future-ready, data-driven organizations through Cloud Native Platforms, Decision-Driven Analytics, and AI-powered solutions.
We are seeking an experienced Senior Data Engineer with deep expertise in AWS data services to design, build, and optimize high-performance data pipelines and platforms. This role is ideal for someone passionate about DataOps, cloud-native architecture, and enabling AI/ML teams with reliable, scalable data infrastructure.
You will lead AWS data engineering projects, mentor junior engineers, and collaborate closely with platform, AI, and analytics teams to ensure seamless data availability and quality for enterprise-grade workloads.
Data Platform Design & Development
Architect, develop, and maintain scalable AWS-based data platforms.
Design and implement ETL/ELT pipelines using services like AWS Glue, Lambda, Step Functions, and Kinesis.
Optimize data storage and retrieval with Amazon Redshift, S3, and DynamoDB.
DataOps & Automation
Implement CI/CD pipelines for data workflows using AWS CodePipeline, CodeBuild, or similar tools.
Automate data quality checks, schema validations, and monitoring.
Collaboration & Leadership
Work closely with data scientists, AI engineers, and product teams to ensure smooth data availability.
Mentor junior engineers and contribute to internal best practices and architectural guidelines.
Performance & Cost Optimization
Optimize AWS workloads for cost efficiency and performance.
Implement partitioning, compression, and indexing strategies to improve query speed.
Security & Governance
Ensure data security, encryption, IAM best practices, and compliance with enterprise and regulatory requirements.
Technical Skills
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
5+ years of experience in data engineering with at least 3 years hands-on in AWS.
Strong expertise in AWS services: Redshift, Glue, S3, Lambda, EMR, Kinesis, Athena.
Proficiency in Python, SQL, and Spark for big data processing.
Experience with data modeling, warehouse design, and schema optimization.
Familiarity with streaming data architectures and real-time analytics.
Knowledge of infrastructure-as-code tools (Terraform, AWS CDK, CloudFormation).
Professional Attributes
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
Ability to balance speed, quality, and scalability in delivery.
1. Continuous Learning & Growth
Access to AWS certifications and advanced data engineering workshops.
Exposure to cutting-edge AI/ML and Agentic AI data workflows.
2. Recognition & Rewards
Performance-based incentives and special recognition for innovative work.
3. Work Benefits & Well-Being
Comprehensive medical insurance.
Additional project-based allowances.
Cab facility for women employees.
At XenonStack, we cultivate a growth-driven, people-first culture built on bold leadership, collaboration, and innovation. We value deep work, an obsession with adoption, and a commitment to delivering solutions that are both impactful and elegantly simple.
Our Product Philosophy:
Obsessed with Adoption – Designing every solution to make AI accessible and accelerate enterprise adoption.
Obsessed with Simplicity – Transforming complexity into seamless, intuitive, and measurable outcomes.
Join us in our mission to accelerate the world’s transition to AI + Human Intelligence, and be part of shaping how enterprises work, think, and grow.