Senior Solution Architect – Snowflake

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🕒 Maio 26

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alphaAI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2021

💳 Fintech

🤖 Inteligência Artificial

Fintech • Artificial Intelligence • Investment

A alphaAI é uma plataforma de investimento inovadora que utiliza tecnologia avançada de IA preditiva para gerenciar e otimizar carteiras de investimento em tempo real. Ao focar em ETFs alavancados e inversos, a alphaAI ajusta dinamicamente as estratégias de investimento com base nas condições atuais do mercado, garantindo a preservação do capital e maximizando o potencial de crescimento. Suas ferramentas de gestão de risco automatizadas e ajustes personalizados de carteiras proporcionam uma experiência sem complicações para os investidores, com o objetivo de melhorar os retornos ajustados ao risco enquanto se adaptam à volatilidade do mercado.

Descrição

• Design, build, and optimize enterprise-scale Snowflake environments, including database architecture, schema design, data modeling, and performance tuning across large and complex datasets. • Serve as the internal and client-facing Snowflake subject matter expert — defining standards, best practices, and governance frameworks for Snowflake implementation and ongoing operations. • Lead the design and delivery of end-to-end data pipelines into and out of Snowflake, including ingestion, transformation, and consumption layers, leveraging Snowflake-native capabilities (Streams, Tasks, Dynamic Tables, Snowpipe) wherever appropriate. • Architect and implement Snowflake data sharing, data marketplace, and cross-cloud/cross-region replication strategies for client environments. • Define and enforce Snowflake security architecture including role-based access control (RBAC), column-level and row-level security, data masking policies, and network policies. • Lead Snowflake performance optimization activities including clustering keys, materialized views, query profiling, warehouse sizing, and cost governance. • Drive adoption of Snowflake best practices across client delivery teams, including query optimization, warehousing strategy, and data lifecycle management. • Translate business and technical requirements into Snowflake-first solution designs, defining required work packages, resourcing, and delivery approach. • Define and socialize technical approaches for Snowflake-based implementations including data migration strategies, SDLC standards, and integration patterns — influencing client teams toward best practice. • Lead and mentor a team of data engineers, providing technical direction and code/design review within a Snowflake-centric delivery model. • Present solution designs, architecture options, and delivery recommendations to business and technology stakeholders at all levels. • Contribute to Alpha's internal Snowflake IP, accelerators, and proposition development. • Participate in project team meetings and communicate effectively across internal and client peers, architects, analysts, project managers, and technology teams.

🎯 Requisitos

• Bachelor's degree in a related field and at least 5 years of data engineering experience, with a minimum of 3 years of hands-on Snowflake implementation experience. • Snowflake certification(s): SnowPro Core at minimum; SnowPro Advanced: Data Engineer or Architect strongly preferred. • Familiarity across the Snowflake platform including: Virtual Warehouses, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Marketplace, Time Travel, Fail-safe, Zero-Copy Cloning, and Snowflake Cortex. • Proven experience designing and implementing Snowflake security models, like RBAC, data masking, row-level security, and network policy configuration. • Strong experience with Snowflake performance tuning, like query optimization, clustering strategy, materialized views, warehouse rightsizing, and credit cost management. • Experience integrating Snowflake with modern orchestration and transformation tools, particularly dbt (data build tool), which is strongly preferred. • Experience with Snowflake-compatible ingestion and pipeline tooling including Snowpipe, Kafka connectors, Fivetran, Airbyte, or similar. • Proficiency in SQL at an advanced level and Python for data engineering workflows within Snowflake (Snowpark preferred). • Experience with cloud platforms (Azure or AWS preferred). • Experience managing delivery using Agile or similar methodologies. • Ability to lead cross-functional teams and manage stakeholder expectations at senior levels. • Previous experience at a global consulting firm is preferred.

🏖️ Benefícios

• 25 days of annual paid time off (accrued), in addition to paid holidays • 5 days of paid training time for continuing education/professional certifications • Reimbursement for commuting, mobile phone, and home internet expenses • Supplemented medical, dental and vision coverage • 401k matching