Roles and Responsibilities

• Lead the creation of enterprise data architectures and roadmaps, aligning with client needs and business objectives.
• Drive end-to-end Data & Analytics solutions, ensuring technical and business alignment.
• Design and implement large-scale data architectures using commercial and open-source analytics technologies, demonstrating strong data architecture patterns.
• Lead cloud data initiatives (Azure, AWS, GCP) with 2-3 years of cloud project experience.
• Architect data models (dimensional, normalized, data vault) and apply data warehousing best practices.
• Work with platforms like Databricks, Snowflake, Talend, DBT, and data virtualization tools.
• Lead Big Data, data warehousing, and analytics initiatives.
• Develop and execute multi-year data transformation roadmaps for large customer opportunities.
• Engage technical and non-technical stakeholders, translating complex solutions into business value.
• Shape multi-million-dollar deals, positioning TCS’s solutions in the market.
• Develop compelling pitches and approaches for new opportunities.
• Lead architecture reviews with internal and client teams to ensure alignment.
• Oversee data management and integration across initiatives.
• Analyze current data systems and recommend improvements for better analytics capabilities.
• Work with senior client leadership (CXOs/D&A Heads) to create data strategies that align with business goals.

Requirements

• Proven track record in enterprise data architecture, cloud platforms (Azure, AWS, GCP), and large-scale data projects.
• Expertise in solution architecture, data modeling, cloud migration, and data platforms (Databricks, Snowflake).
• Strong communication, problem-solving, and leadership skills with experience in driving business growth.
• Banking, Financial Services, Insurance sector experience is preferred.

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