Data Architect
2 days ago
Date Opened
08/27/2025
Job Type
Full time
Industry
Technology
Work Experience
9 - 12 Years
City
Mohali
State/Province
Punjab
Country
India
Zip/Postal Code
160075
Job DescriptionABOUT 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
- Vision AI Platform
- Inference AI Infrastructure for Agentic Systems
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 OPPORTUNITYWe 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 RESPONSIBILITIESData 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.
- 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.
- Career Mobility & Growth
Progress into roles such as Principal Data Architect, Head of Data Platforms, or AI Systems Architect.
- Global Exposure
Work with enterprises worldwide on mission-critical data systems.
- Create Real Impact
Your designs will directly influence AI adoption, enterprise intelligence, and business outcomes.
- Culture of Excellence
Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — give you autonomy to innovate and accountability to deliver.
- Responsible AI First
Ensure data platforms are not just powerful, but trustworthy, explainable, and compliant.
XENONSTACK CULTURE – JOIN US & MAKE AN IMPACTAt 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.
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