Snowflake Solutions Architect
Marlabs pune, Maharashtra, India
Business Consulting and Services · 1,001-5,000 employees
About the role
The Snowflake Solutions Architect will design and implement scalable, secure data platforms while defining data modeling standards and integration patterns. They will lead architectural reviews and collaborate with engineering teams to optimize performance and ensure robust data governance.
What they look for
Requirements
Candidates must have 7+ years of experience in data architecture and deep hands-on expertise with Snowflake and cloud ecosystems. Proficiency in SQL, data modeling, and integration with platforms like Databricks is essential for this role.
Full description
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Snowflake Solutions Architect to join our innovative and dynamic team.
Snowflake Solutions Architect | About You
As a Snowflake Solutions Architect, you are responsible for designing, guiding, and implementing cloud‑based data solutions that leverage Snowflake for scalable analytics, data warehousing, and secure data sharing. You architect end‑to‑end data solutions, integrating Snowflake with modern data engineering platforms such as Databricks and enterprise data ecosystems. You excel at translating business requirements into well‑governed technical architectures and providing clear direction to engineering teams during implementation. You bring deep expertise in data modeling, performance optimization, and cloud best practices, and you understand how to balance flexibility, scalability, cost, and security. You thrive in environments where you can shape data strategy, define architectural standards, and ensure reliable, enterprise‑grade data delivery.
Snowflake Solutions Architect | Day-to-Day
- Design and architect scalable Snowflake‑based data platforms supporting analytics, reporting, and high‑volume data processing.
- Define and enforce data modeling standards, warehouse structures, and integration patterns across cloud environments.
- Collaborate with data engineering teams to design pipelines integrating Snowflake with Databricks, ETL/ELT frameworks, and enterprise data layers.
- Optimize Snowflake performance through effective warehouse sizing, clustering, data organization, and cost‑management strategies.
- Lead solution design discussions, architectural reviews, and documentation efforts for new and existing data initiatives.
- Ensure data governance, security, access controls, and privacy standards are consistently applied across the Snowflake ecosystem.
Snowflake Solutions Architect | Skills & Experience
- 7+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
- Deep, hands‑on expertise with Snowflake, including architecture design, performance tuning, data modeling, and security capabilities.
- Experience working with Databricks and a strong understanding of lakehouse‑to‑warehouse integration patterns.
- Advanced proficiency in SQL, data modeling methodologies, and ETL/ELT architecture.
- Experience designing solutions within major cloud ecosystems (Azure, AWS, or GCP) and using modern data orchestration tools.
- Strong communication and stakeholder engagement skills, with the ability to lead architectural discussions and influence technical direction across teams.
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