Secondary Skills: AWS, Azure, GCP, Linux, Windows Environments, Redshift, Databricks

Mode of work: Work from Office

Experience: 12+ Years of Experience in Data Modeling/Data Warehousing and 5+ years in Snowflake.

About the job:

We are seeking a highly skilled Architect with expertise in Snowflake Data Modeling and Cloud Data solutions. The successful candidate will lead Snowflake optimizations at both warehouse and database levels, ensuring that Snowflake components are efficiently set up, configured, and deployed for various projects.

Know your team (“Legacy Rewired, Engineering the Future”):

At ValueMomentum’s Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through a strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.

Job Summary:

We are seeking a highly skilled Architect with over 12 years of experience in Data Modeling/Data Warehousing and 5+ years in Snowflake. The role involves leading Snowflake optimizations, setting up and configuring Snowflake components, and implementing cloud management frameworks. Proficiency in Python, PySpark, SQL, and experience with cloud platforms (AWS, Azure, GCP) are essential.

Responsibilities:

• Work on Snowflake optimizations at both the warehouse and database levels.
• Setup, configure, and deploy Snowflake components, including Databases, Warehouses, and Roles.
• Setup and monitor data shares and Snow Pipes for Snowflake projects.
• Implement Snowflake Cloud management frameworks, including monitoring, alerting, governance, budgets, change management, and cost optimization.
• Develop cloud usage reporting to measure cost-related insights, metrics, and KPIs.
• Build and improve Snowflake forecasting processes and explore cloud spend trends.

Requirements:

• 12+ years of experience in Data Modeling/Data Warehousing.
• 5+ years of experience in Snowflake Data Modeling and Architecture, including expertise in Cloning, Data Sharing, and Search optimization.
• Proficient in Python, PySpark, and complex SQL for analysis.
• Experience with cloud platforms like AWS, Azure, and GCP.
• Knowledge of Snowflake performance management and cloud-based database role management.