Data Architect

Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Senior Snowflake Architect, you will lead the design and implementation of enterprise-scale data platforms on Snowflake, driving data architecture, governance, security, and performance optimization initiatives. You will collaborate with business and technology stakeholders to build scalable data solutions, modernize data ecosystems, and enable advanced analytics, AI, and Agentic AI capabilities. The role involves defining architectural standards, overseeing data integration and modeling strategies, mentoring engineering teams, and leveraging cloud-native technologies to deliver intelligent, autonomous, and business-driven data solutions that support organizational growth and innovation.

Roles Responsibilities:
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Design and develop application architecture that aligns with business objectives and technical standards.
- Build GenAI and Agentic AI solutions.
- Provide technical guidance and mentorship to the development team.
- Conduct code reviews and ensure adherence to coding best practices.
- Identify and mitigate technical risks and issues.
- Stay updated with the latest industry trends and technologies.
- Assist in the evaluation and selection of technology solutions.
- Contribute to the continuous improvement of development processes and methodologies.

Professional Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse with any Snowpro Advanced Certificaiton.
- Experience with Data Engineering.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.
- A 15 years full time education is required.


Qualification
15 years full time education