Freelance Data & AI Platforms Architect

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

Data & AI Platforms Architect


Key Responsibilities

  • Design and architect scalable Data & AI platforms (data lake, warehouse, lakehouse).
  • Build and optimize ETL/ELT pipelines using Databricks, ADF, Snowflake, Glue, etc.
  • Develop MLOps pipelines for model deployment, monitoring, and governance.
  • Implement data quality, lineage, cataloging, and security best practices.
  • Partner with engineering and data science teams to deliver production-ready solutions.
  • Ensure cloud platform compliance, cost optimization, and performance tuning.


Skills Required

  • Strong expertise in

    Azure + Databricks

    OR

    AWS + Snowflake

    .
  • Proficiency in

    SQL, Python, PySpark

    , and distributed data processing.
  • Experience with

    Azure ML, AWS SageMaker, MLflow

    , or similar platforms.
  • Strong understanding of

    IAM, networking, RBAC, encryption, and DevOps

    .
  • Familiarity with streaming tools (Kafka, Event Hub, Kinesis).
  • Excellent communication and architecture documentation skills.

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