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Tier-1 brand, metro location, and broad Snowflake/data engineering requirements increase candidate competition.
Core data engineering skills are transferable, but finance compliance and Agentic AI specialization increase domain specificity.
Explicit 10+ years requirement and specific Snowflake/Agentic AI expertise enforce strict shortlisting.
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Design, build, and maintain scalable data pipelines, data models, and AI-driven analytics solutions on Snowflake.
Lead hands-on development of Agentic AI solutions to automate and augment data engineering and analytics workflows including intelligent data quality checks and impact analysis.
Collaborate with business stakeholders to deliver production-ready AI and data solutions ensuring enterprise standards for security, compliance, and responsible AI.
Bachelor’s degree in Computer Science, Engineering, or related discipline.
10+ years of hands-on experience in data engineering and analytics.
Expertise with Snowflake platform, data modeling, ETL/ELT, data quality frameworks, and AI-driven automation in data domain.
Work Experience Required: 10+ years; Experience in investment or asset management preferred.
Technical leader with deep expertise in Snowflake-based data platforms and Agentic AI implementations within enterprise environments.
Experience operating across full data lifecycle with ability to translate business data challenges into scalable AI-augmented architectures.
Experienced working with investment management or asset management sectors, comfortable managing stakeholder collaboration and governance standards.