Data Architect

10 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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Job Summary:

Data Architect

Key Responsibilities:

  • Design modern data architectures enabling AI/ML workloads and real-time analytics.
  • Build and manage data lakes, feature stores, and analytical marts.
  • Translate ML and analytics needs into scalable data pipelines.
  • Lead end-to-end ML pipeline development and deployment.
  • Implement best practices in data governance, DevOps, and MLOps.
  • Collaborate cross-functionally to align data strategies with business goals.
  • Drive Azure-based data solutions including Databricks, ADF, Synapse, and Azure ML.

Technical Expertise:

  • Strong in Python, SQL, distributed systems, and cloud (Azure preferred).
  • Experience with ML frameworks (TensorFlow, PyTorch), NLP (Hugging Face), and GenAI (LLMs, LangChain, RAG).
  • Familiar with tools like Spark, Kafka, Delta Lake, NoSQL, Kubernetes, Git, Terraform.

Preferred Qualifications:

  • Azure Certifications (e.g., Architect, Data Scientist).
  • Experience with real-time data, data mesh, and regulatory compliance (GDPR/HIPAA).
  • Exposure to GenAI safety and responsible AI frameworks.

Soft Skills:

  • Strong communication and leadership.
  • Strategic and execution-driven mindset.
  • Passion for innovation and mentoring.

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