Senior Data Solutions Architect

3 weeks ago

Toronto, Ontario, Canada Tiger Analytics Full time

Tiger Analytics is a pioneer in AI and analytics, solving complex business problems for Fortune 100 companies. Our bespoke solutions are powered by data and technology, and we have offices in multiple cities across the US, UK, India, and Singapore, with a remote global workforce.

We are seeking an experienced Data Architect to play a key role in designing and implementing robust data solutions for our clients. Key responsibilities include developing data architecture blueprints, designing scalable data models, and collaborating with stakeholders to translate business requirements into technical specifications.

Key Responsibilities

  • Develop comprehensive data architecture blueprints that align with business objectives and regulatory requirements
  • Design and implement scalable data models, schemas, and pipelines within the Snowflake data warehouse platform
  • Collaborate with stakeholders to gather requirements and translate them into technical specifications for Snowflake-based solutions
  • Implement data governance and security measures to ensure data integrity, privacy, and compliance
  • Optimize Snowflake performance through query optimization, indexing strategies, and resource utilization monitoring
  • Lead the evaluation and adoption of new Snowflake features and technologies to enhance data management capabilities

Requirements

  • 10+ years of experience as a Data Architect or similar role, with a strong focus on designing and implementing data solutions using Snowflake
  • In-depth knowledge of Snowflake architecture, including data storage, virtual warehouses, and data sharing functionalities
  • Proficiency in SQL and experience with scripting languages (Python, SQL) for data manipulation and automation
  • Strong understanding of data integration concepts and tools (ETL/ELT processes, streaming data pipelines)
  • Experience with AWS cloud and familiarity with Snowflake's integration capabilities with cloud services
  • Strong understanding of the pharmaceutical/Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data
  • Collaborate with data engineers, analysts, and business users to support data visualization, reporting, and analytics initiatives
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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