Senior Cloud Data Solutions Architect

7 days ago

jaipur, India beBeeData Full time

We are seeking a highly skilled and experienced Data Architect to join our team.Job DescriptionThis role is focused on leading the development of data strategies and architectures for complex customer data solutions. The ideal candidate will have a strong background in data architecture, data warehousing, and cloud engineering, with expertise in Snowflake.The successful candidate will be responsible for defining and implementing data governance frameworks, ensuring performance, cost efficiency, and security best practices. They will also lead the adoption and application of emerging technologies such as Snowpark, Snowpipe Streaming, and Native Application Framework.Key Responsibilities:Solution Articulation: Serve as the lead technical consultant, translating complex business challenges into clear, scalable, and secure data solutions.Architecture Design: Define the target state architecture for large-scale data migrations from legacy systems to Snowflake.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.Requirements: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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