Principal Data Architect

2 days ago

Jodhpur, India beBeeData Full time

We are seeking a seasoned professional to join our team as a Principal Architect. This role requires a unique blend of technical expertise and thought leadership in the field of data architecture.The successful candidate will have 15+ years of experience in data architecture, data warehousing, or cloud engineering, with a strong focus on Snowflake Data Cloud solutions. They will be responsible for defining complex customer data strategies and elevating our brand reputation through community engagement.Key ResponsibilitiesOur ideal candidate will have the following skills and qualifications:Strategic Architecture & Advisory: Serve as the lead technical consultant, translating complex 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 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.RequirementsTo succeed in this role, the candidate must have:Total 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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