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XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling enterprises to gain real-time and intelligent business insights.
We deliver innovation through:
Agentic Systems for AI Agents akira.ai
Vision AI Platform xenonstack.ai
Inference AI Infrastructure for Agentic Systems nexastack.ai
Our mission is to accelerate the world’s transition to AI + Human Intelligence by designing scalable, reliable, and AI-ready data platforms that power next-gen enterprise systems.
We are seeking a Data Architect to design, govern, and optimize enterprise data ecosystems that fuel LLM training, RAG pipelines, Vision AI, and multi-agent systems.
This is a strategic role that blends data engineering, governance, and architecture leadership — ensuring that XenonStack and its customers operate on trusted, scalable, and intelligent data infrastructure.
Data Architecture & Strategy
Define and implement data platform blueprints across cloud and hybrid environments.
Design architectures for data lakes, warehouses, and real-time streaming pipelines.
Ensure alignment with business goals, AI readiness, and compliance requirements.
Enterprise Data Modeling & Governance
Establish standards for data modeling, lineage, quality, and master data management.
Implement governance frameworks to meet enterprise and regulatory needs (GDPR, SOC2, HIPAA).
AI & Analytics Enablement
Architect data pipelines that feed into LLMs, RAG systems, and Vision AI workflows.
Collaborate with AI/ML teams to design high-quality, labeled, and observable datasets.
Technology & Integration
Define reference architectures for ETL/ELT, vector databases, and knowledge graph integration.
Evaluate and select technologies across AWS, Azure, GCP, and open-source data ecosystems.
Leadership & Collaboration
Mentor data engineers and platform engineers on best practices.
Partner with Product, AgentOps, and Security teams to ensure reliable, compliant, and cost-optimized data systems.
Must-Have
8–12 years in data engineering, architecture, or analytics platform leadership.
Proven expertise in data modeling, ETL/ELT pipelines, and distributed data systems.
Hands-on with big data and analytics frameworks (Spark, Kafka, Delta Lake, Databricks).
Strong knowledge of cloud-native data ecosystems (AWS Redshift/Glue, Azure Synapse/Data Factory, GCP BigQuery/Dataflow).
Proficiency in SQL, Python, and data orchestration frameworks (Airflow, dbt).
Deep understanding of data governance, compliance, and security best practices.
Good-to-Have
Experience with vector databases (Pinecone, Weaviate, FAISS) and knowledge graphs.
Familiarity with LLM/AI data pipelines and agentic system data needs.
Certifications in AWS/Azure/GCP data engineering or architecture.
Industry exposure to BFSI, GRC, SOC, or regulated enterprise environments.
At XenonStack, we believe in shaping the future of intelligent systems. We foster a culture of cultivation built on bold, human-centric leadership principles, where deep work, simplicity, and adoption define everything we do.
Our Cultural Values
Agency – Be self-directed and proactive.
Taste – Sweat the details and build with precision.
Ownership – Take responsibility for outcomes.
Mastery – Commit to continuous learning and growth.
Impatience – Move fast and embrace progress.
Customer Obsession – Always put the customer first.
Our Product Philosophy
Obsessed with Adoption – Making AI-ready data architectures accessible and enterprise-grade.
Obsessed with Simplicity – Turning complex data challenges into seamless, intuitive systems.
Be a part of our mission to accelerate the world’s transition to AI + Human Intelligence — by architecting the trusted data platforms that power enterprise AI adoption.
XenonStack
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