About Xenonstack
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.
THE OPPORTUNITY
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
.
Key Responsibilities
- 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.
Skills & Qualifications
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.
WHY SHOULD YOU JOIN US?
- Agentic AI Product Company
Architect data systems that power
enterprise-grade AI agents
.
- A Fast-Growing Category Leader
Join one of the fastest-growing
AI Foundries
, trusted by Fortune 500 enterprises.
Progress into roles such as
Principal Data Architect, Head of Data Platforms, or AI Systems Architect
.
Work with enterprises worldwide on
mission-critical data systems
.
Your designs will directly influence
AI adoption, enterprise intelligence, and business outcomes
.
Our values —
Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession
— give you autonomy to innovate and accountability to deliver.
Ensure data platforms are
not just powerful, but trustworthy, explainable, and compliant
.
XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!
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
.
