Data Architect
- Bristlecone
- 10 - 14 years
- Pune
- 20 days ago
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Job Description
About the Role
The Data Architect will lead the technical design discussion for Bristlecone's Data & AI Offerings. This role owns the translation of Supply Chain (SC) domain requirements into production-grade cloud data architectures building the SC domain schemas, source system connectors, and analytics accelerators that form the core. Critically, every architecture built must be AI-ready: feature-store-enabled, semantically enriched, and structured to support GenAI copilots and Agentic AI decision workflows without requiring a rebuild. The role demands an unusual combination: deep cloud data engineering capability, genuine SC domain fluency, and practical AI infrastructure knowledge.
What You'll Do
- Design and build Data-on-cloud architectures across Databricks, Snowflake, and Cloud Service Providers including medallion (Bronze/Silver/Gold) schema design aligned to SC domains: demand, supply, inventory, logistics, and sourcing
- AI-ready by design: Architect with AI consumption in mind building feature stores (for e.g., Databricks Feature Store, Vertex AI Feature Store), semantic layers, and vector-ready data structures that Agentic AI and LLM applications can consume directly
- Develop and enhance Bristlecone's SC source system connector library extracting and transforming data from SAP IBP/APO, Oracle SCM Cloud, Kinaxis RapidResponse, Blue Yonder, and logistics visibility platforms.
- GenAI/AgenticAI in delivery: Actively use GenAI tooling in your own build workflow (For e.g., AI-assisted schema generation, Code Generation, Test Cases etc.)
- Lead the architecture assessment and blueprint phase (weeks 34) of SC Data Strategy engagements producing current-state data landscape maps, AI readiness assessments, and target-state Data & AI architecture recommendations for CDO and CIO audiences
- Scope and estimate technical requirements for Data engagements assessing legacy system data volumes, extraction complexity, and recommending target landing zone architecture
- Contribute to offering IP development: expanding the SC schema library, broadening connector coverage, and documenting AI-ready architecture patterns for reuse across engagements
What You'll Bring
- 7+ years of experience in data engineering or data architecture, with at least 3 years on cloud-native data platforms in a production environment
- Certified or deeply hands-on with at least two platforms: Databricks (Data Engineer or Solution Architect certification preferred), Snowflake (SnowPro), and Cloud Service Provider (AWS, Azure, and GCP)
- Strong command of Python (PySpark), SQL, and dbt able to build, test, and deploy production-grade ELT pipelines with data quality enforcement, lineage tracking, and semantic layer design
- AI infrastructure: Practical experience building GenAI/ AgenticAI interventions with ability to create Knowledge Base
- Working knowledge of at least two SC platforms from a data extraction perspective: SAP IBP/APO, Kinaxis RapidResponse, Blue Yonder, or Oracle SCM Cloud
- Ability to communicate technical architecture decisions including AI infrastructure tradeoffs to non-technical audiences.
Bonus If You Have
- GenAI / Agentic AI: Hands-on experience building GenAI or Agentic AI applications on top of data infrastructure: RAG pipelines over SC data, LLM-powered SC anomaly detection, or Agentic AI workflows using LangChain, LangGraph, or AutoGen
- Experience with Unity Catalog AI (Databricks), Snowflake Cortex AI, Github Copilot, Claude Code etc
- SC domain practitioner background former SC planner or SC systems implementer who brings first-hand SC business context to every architecture decision
- Exposure to real-time SC data architectures: Apache Kafka, Delta Live Tables, or GCP Pub/Sub for SC control tower and logistics visibility pipelinesRole & responsibilities
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: BristleconeLocation(s): Pune
Keyskills: Pyspark Snowflake Data Architecture Cloud Native Data Bricks Python
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