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 robust in the above points and can exhibit the maturity to learn on the fly.

Working knowledge of Generative AI (GEN AI).

📌 Systems Architect (Chennai)
🏢 Virtusa
📍 Chennai