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Data Architect @ Virtusa

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 Data Architect

Job Description

Key Responsibilities

  • Data Architecture & Platforms: Design, architect, and implement robust and scalable data architectures, ensuring the delivery strategy is clearly defined.
  • Diverse Data Platform Expertise: Leverage a native data background and diverse platform experience to design solutions incorporating Batch, Streaming, Machine Learning (ML), and Data Science capabilities.
  • Solutioning and Thought Leadership: Drive and support solutioning activities, including Pre-Sales, RFPs, Workshops, and Hackathons, and act as a technical thought leader.1
  • AI/Gen AI Integration: Possess a clear understanding and working knowledge of Generative AI (GEN AI) with clarity of thought to explore its application within your area of technical specialization (Point #3).45
  • Technical Guidance & Governance: Guide and offer technical expertise to the team. Define data integration strategy and support data governance, quality, and auditing initiatives

Required Skills & Qualifications

  • Native Data Background with diverse data platform experience encompassing Batch, Streaming, ML, and Data Science.
  • Specialization in at least one area, such as Snowflake, DBX/DeltaLake, Data Science, or Kafka.
  • Experience within the Pharma Domain with compliance and regulatory understanding is a plus. This is not mandatory, provided the candidate is strong in the above points and can exhibit the maturity to learn on the fly.
  • Working knowledge of Generative AI (GEN AI).

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Virtusa
Location(s): Hyderabad

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Keyskills:   RFPS Gen AI Snowflake Data Architecture

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