As a Data Architect at Tiger Analytics, you will be responsible for designing and implementing data solutions aligned with business goals. This involves developing data architecture blueprints, optimizing Snowflake performance, and collaborating with stakeholders to translate requirements into technical specifications. You will also ensure data governance and lead the adoption of new technologies while working in a team for data visualization and reporting.
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Data Architect to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.
Responsibilities
- Develop and maintain 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.
- 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
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.
Top Skills
Python
Snowflake
SQL
Similar Jobs
Food • Retail • Agriculture • Manufacturing
As a Data Architect, you will lead the development of McCain Foods' enterprise data model, integrating key data assets across various business sectors including agriculture and manufacturing. You will work collaboratively with diverse teams to establish a structured data model that supports advanced data analytics and digital transformation initiatives.
Top Skills:
PysparkPythonSQL
Food • Retail • Agriculture • Manufacturing
The Principal Data Architect will lead the development of the enterprise data model at McCain Foods, collaborating with various teams to ensure data quality, security, and governance while designing data models and implementing data warehouses and lakes that support AI and analytics projects.
Top Skills:
SQL
Information Technology
As a Data Architect at Badal by TELUS, you will develop cloud architecture solutions and data models, migrate data to cloud platforms, optimize data systems, and coordinate with stakeholders to enhance data processes. The role emphasizes collaboration within a team of engineers to deliver scalable and secure data environments.
Top Skills:
GCP
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
