Senior Snowflake Architect

April 3

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RCH Solutions

RCH Solutions is a specialized provider of scientific computing and Bio-IT services, focusing on helping life sciences organizations streamline their research and development processes. They offer a range of consulting, managed, and professional services, including cloud computing, data management, and high-performance computing, aimed at accelerating scientific discovery and optimizing resource utilization for biotech and pharmaceutical companies.

R&D IT • Cloud Computing • HPC • AI & Emerging technology • Scientific Applications

📋 Description

• RCH Solutions is seeking a Senior Snowflake Architect to join our Data Engineering team. • In this role, you will design, implement, and optimize our Snowflake data architecture. • The ideal candidate will be responsible for implementing complex ETL processes and optimizing database performance. • Design and implement scalable, secure, and efficient Snowflake data architectures aligned with business requirements. • Develop data modeling strategies and implement best practices for Snowflake environments. • Design and implement ETL/ELT pipelines to extract, transform, and load data into Snowflake. • Optimize data flows for performance and scalability. • Establish data governance standards, security controls, and access management protocols. • Integrate Snowflake with various third-party tools, data lakes, and data warehouses. • Mentor team members on Snowflake technologies and best practices.

🎯 Requirements

• A bachelor’s degree or master’s degree in Computer Science or related field • 5+ years of experience in data architecture or data engineering roles • Proven experience in developing and managing data solutions in Snowflake, including creating databases, schemas, tables, stages, file formats, and virtual warehouses. • Snowflake Core Certification • Strong understanding of cloud platforms and their integration with Snowflake, particularly cloud storage services (e.g., S3). • Proficiency in SQL and experience with data modeling techniques • Experience with ETL/ELT processes and tools (such as Fivetran, dbt, Matillion, or similar) • Proficiency in scripting languages like Python, JavaScript, or Bash for data automation, orchestration, and integration tasks. • Knowledge of data modeling concepts (e.g., star schema, snowflake schema, normalization, denormalization). • Knowledge of data integration patterns and data pipeline development • Understanding of data governance principles and security best practices • Excellent communication and collaboration skills

🏖️ Benefits

• A competitive salary and bonus package based on experience • Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance • Company-provided Life and Long-Term Disability Insurance • Company-sponsored 401(k) Plan • Company-provided continuing education benefit • Team-focused culture and unlimited opportunity for advancement

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