Key Responsibilities:
Lead the
design, architecture, and implementation
of Snowflake-based data solutions.
Conduct assessment of existing data platforms (e.g., legacy data warehouses, ETL pipelines) and define the modernization strategy.
Define migration roadmaps and ensure smooth transition from legacy systems to Snowflake.
Build robust designs, architectural patterns using Snowflake and cloud platforms in alignment with target state expectations.
Provide architectural guidance, best practices, and technical leadership across teams.
Collaborate with stakeholders to gather business and technical requirements.
Design secure, scalable, and performance-optimized data models in Snowflake.
Establish data governance, access control, and data sharing strategies using Snowflake features.
Monitor system performance and lead efforts for tuning and optimization.
Stay up to date on Snowflake features and recommend improvements or adoption of new capabilities.
Mentor developers, analysts, and engineers in Snowflake development and migration techniques.
Required Qualifications:
10+ years of experience in data architecture, data engineering, or similar roles.
Hands-on experience with
Snowflake
, including data modeling, performance tuning, and advanced features
Strong understanding of cloud platforms (AWS/Azure) and integrating Snowflake within them.
Proven experience with end-to-end data warehouse modernization or migration projects.
Expertise in SQL, ELT/ETL frameworks, and integration tools
Solid understanding of data security, governance, and compliance.
Excellent communication and stakeholder management skills.
Preferred Qualifications:
Experience designing and/ or implementing Data Engineering solution in Real Estate domain would be preferred
