Enterprise Data Solutions Architect

3 days ago

Toronto, Ontario, Canada Tiger Analytics Full time

Tiger Analytics is a pioneering force in harnessing the power of AI and analytics to tackle complex business challenges globally. With a presence in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce, we develop bespoke data solutions for Fortune 100 companies.

As an experienced Enterprise Data Solutions Architect, you will play a pivotal role in designing and implementing robust data solutions that address clients' intricate business needs. If you are passionate about leveraging structured and unstructured data on a large scale to drive business value, Tiger Analytics invites you to join our team.

Responsibilities:
  • Develop comprehensive data architecture blueprints that align with business objectives and regulatory requirements.
  • Design scalable and efficient 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

Key Qualifications:
  • At least 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 (e.g., Python, SQL) for data manipulation and automation.
  • Strong understanding of data integration concepts and tools (e.g., 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.

Estimated Annual Salary: $150,000 - $200,000

Benefits include significant career development opportunities as the company grows, offering a unique chance to be part of a fast-paced, entrepreneurial environment with high individual responsibility.

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