Data & AI Architect

New
W
Weekday AIData & AI
Remote (India)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
9+ years
Required Skills
PythonSQLMicrosoft AzureSparkData modelingDatabricks

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
  • 9+ years of experience designing enterprise-scale Data & Analytics platforms.
  • Strong experience implementing cloud-native data and AI solutions on Microsoft Azure.
  • Deep expertise in data modeling, data warehousing, lakehouse architecture, and enterprise data platforms.
  • Hands-on experience with SQL Server, Azure Data Lake, Azure Data Factory, Databricks, Spark, Python, and CI/CD pipelines.
  • Experience designing AI-ready architectures supporting machine learning and generative AI workloads.
  • Strong knowledge of MLOps and LLMOps tools such as MLflow, Azure Machine Learning, LangChain, vector databases, and RAG architectures.
  • Familiarity with Agentic AI frameworks such as CrewAI, LangGraph, AutoGen, or similar orchestration platforms.
  • Understanding of APIs, event-driven architecture, master data management, and cloud-native application design.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.

Responsibilities

  • Design and evolve enterprise data architecture, including data lakes, data warehouses, data marts, and lakehouse platforms.
  • Develop AI-ready data assets that support analytical, predictive, and generative AI use cases.
  • Architect cloud-native data platforms on Microsoft Azure for scalable ingestion, transformation, storage, and analytics.
  • Design data architectures that enable machine learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions.
  • Define scalable ETL/ELT pipelines and real-time data integration architectures.
  • Implement best practices for data governance, metadata management, master data, lineage, and data quality.
  • Act as a trusted technical advisor, mentor engineering teams, and drive architectural consistency.
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