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3Pillar Global

AWS Snowflake Data Architect (12+ Years of Exp+ Immediate Joiners Preferred)

Posted 2 Days Ago
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Remote
Hiring Remotely in India
Expert/Leader
Remote
Hiring Remotely in India
Expert/Leader
Architect and implement an AI-ready data platform using Snowflake, Databricks, and cloud services. Build batch and real-time PySpark/Kafka pipelines, manage vector DBs and embedding pipelines, enable ML/LLM ops, enforce data governance, and mentor engineering teams to ensure secure, reliable AI outputs.
The summary above was generated by AI
3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI
 
We are looking for an AI Data Architect to design, build, govern, and evolve the single source of truth that powers every AI initiative in our organization.
This platform will serve as the foundational nervous system for conversational AI assistants, dashboard intelligence, autonomous AI agents, RAG-powered applications, predictive ML models, and any AI product we build today or in the future.
The resource will architect the system, drive implementation, own the data contracts that agents and AI applications depend on, enforce security and access governance for both human and agent consumers, and continuously monitor and improve the accuracy and reliability of AI outputs that flow from this platform.

Responsibilities

    Design and implement scalable data platforms using Snowflake, Databricks, Delta Lake, and cloud technologies.
    Build batch and real-time data pipelines using PySpark, Kafka, and Spark Structured Streaming.
    Develop AI-ready data architectures supporting analytics, ML, LLMs, and RAG applications.
    Design semantic models, data governance, metadata, and data lineage solutions.
    Implement vector databases, embedding pipelines, and retrieval solutions for AI applications.
    Build and manage ML/LLMOps pipelines, model deployment, monitoring, and CI/CD.
    Ensure data security, RBAC, compliance, and governance across the platform.
    Mentor engineering teams and define architecture best practices.

    Required Skills
    12+ years of experience in Data Engineering/Data Architecture.
    Strong experience with **Snowflake, Databricks, PySpark, Kafka, Delta Lake, SQL, and Python**.
    Hands-on experience with **AWS (S3, Glue, Redshift, Bedrock, Kinesis)** or Azure.
    Experience with **LangChain, LlamaIndex, OpenAI/Bedrock, RAG, Vector Databases (Pinecone, ChromaDB, FAISS, OpenSearch)**.
    Good understanding of ML/LLMOps, Data Governance, Data Lineage, and CI/CD.
    Excellent communication and stakeholder management skills.

What It's Like to Work at 3Pillar:

    At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
  • Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
  • Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
  • Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
  • Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

  • Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.

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