Transformative Data Leader
2 days ago
Senior Data Architect PositionWe are seeking a distinguished Senior Data Architect to act as a Trusted Advisor and Global Evangelist for our data practice, focusing specifically on the Banking, Financial Services, and Insurance (BFSI) sector.This role requires a rare blend of deep, hands-on architectural expertise (15+ years of data experience, 6+ years on Snowflake) and proven thought leadership (Snowflake Data Superhero profile, speaker, multiple certifications). You will be responsible for defining complex customer data strategies and elevating our brand reputation through community engagement.Key ResponsibilitiesStrategic Architecture & Advisory (BFSI Core)Solution Articulation: Serve as the lead technical consultant, translating complex C-level banking business challenges into clear, scalable, and secure Snowflake Data Cloud solutions.Architecture Design: Define the target state architecture for large-scale data migrations from legacy systems to Snowflake, ensuring performance, cost efficiency, and security best practices.Security & Compliance: Design and enforce data governance frameworks within Snowflake to meet stringent BFSI regulatory requirements using features like Role-Based Access Control (RBAC), Dynamic Data Masking, and External Tokenization.Emerging Tech: Lead the adoption and application of Snowpark (Python, Scala, Java), Snowpipe Streaming, and the Native Application Framework for advanced financial analytics, AI/ML, and data monetization strategies.Required Skills & QualificationsTotal Experience - 15+ years in Data Architecture, Data Warehousing, or Cloud Engineering.Snowflake Expertise- 6+ years of expert, hands-on architecture experience with the Snowflake Data Cloud.Domain Expertise (MANDATORY) 7+ years of direct experience in the Banking, Financial Services, or Insurance (BFSI) sector, demonstrating deep knowledge of regulatory reporting, core banking systems, and risk management.Certifications (MULTIPLE) - Required: SnowPro Advanced Architect. Required: SnowPro Core. Preferred: At least one other advanced certification (e.g., Data Engineer, Data Scientist, Administrator).Technical Skills - Expert in SQL and proficiency in Python (Snowpark). Deep experience with ETL/ELT tools (e.g., dbt, Informatica) and major cloud providers (AWS, Azure, or GCP).
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