Data Platform Engineer

 About The Role  

Project Role :Data Platform Engineer

Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Snowflake Data Warehouse, Data Engineering, Gen AI

Good to have skills :NAMinimum
15 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Snowflake Principal Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments while enabling and optimizing AI workloads, and real-time analytics pipelines. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Your typical day will involve collaborating with cross-functional teams, analyzing requirements, designing application architecture, and providing technical guidance to ensure the successful delivery of projects. As a core contributor to the CoE, you will collaborate closely on presales, support delivery teams, and lead the design and execution of POVs and POCs including GenAI activities.
Roles & Responsibilities:Project Role :Snowflake Principal ArchitectProject Role Description :Architects end-to-end Snowflake solutions, including modeling, optimization, and security. Leads CoE initiatives by creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects.- Expected to be a SME in Snowflake with deep knowledge and experience. Collaborate with vendors to align solutions, drive CoE initiatives.- Design and implement enterprise-grade Snowflake solutions across data ingestion, storage, transformation, and access.- Create and maintain reference architectures, accelerators, design patterns, and solution blueprints for repeatability.- Track and evangelize Snowflake's latest features, and assess their potential for client impact and internal innovation.- Lead capability growth initiatives by mentoring team members, driving POCs, and contributing to knowledge repositories.- Provide pre-sales support, including proposal creation, estimations, solutioning, and client presentations.- Define data modeling standards, physical schema designs, and best practices for structured and semi-structured data.- Establish data governance, security models, RBAC, and masking policies in line with compliance standards (e.g., SOC2, HIPAA, GDPR).- Possesses in-depth knowledge of Snowflakes advanced features, including Snowpark, Iceberg tables, dynamic tables, snowpipe streaming, SPCS, authentication & authorization methods, alerts, performance tuning, row level security, masking, tagging, etc.- Stay abreast of evolving Snowflake and GenAI capabilities; recommend and pilot new tools and frameworks.- Features on Gen-AI like LLMs, Cortex Analyst, Cortex Search, Document-AI should be well known. Should have supported client visits, presented the Gen-AI capabilities across wider team.--Good to know technologies are DBT, Fivetran.Professional & Technical Skills:

Must have skills :Snowflake Data Warehouse with GenAI- Any SnowPro Advanced Certification(Must)
Good to have skills :dbt, Fivetran- Experience or Knowledge of building or integrating Generative AI applications and experience with Snowflake Cortex.- Strong communication and solution architecture skills with the ability to bridge technical and business discussions.- Candidate should possess the ability to grow teams around him.- Should have Influencing and Advisory skills.- Responsible for team decisions.Additional Information:- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.- This position is . Qualification 
15 years full time education