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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Snowflake architecture, data governance, and enterprise data modernization, with a strong focus on designing scalable and secure data platforms. Proven ability to lead teams, mentor engineers, and implement best practices for data modeling and transformation.
Highest-signal resume keywords
Snowflake ArchitectureData EngineeringData GovernanceSQL ExpertiseCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureDimensional ModelingELT ArchitecturesPerformance TuningData WarehousingData IngestionData TransformationData QualityAI-Driven SolutionsCortex AI Functions
Soft Skills
Stakeholder ManagementTechnical Leadership
Tools & Technologies
SnowparkCI/CDDevOpsDbtAzureAWSGCPDatabricksSparkPySpark
Certifications & Qualifications
Snowflake Certifications
Industry Keywords
BFSIInsuranceData Platform CoEGovernance PracticesMetadata Management
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPySparkSparkSQL
About the role
Key responsibilities & impact- Lead the Snowflake Center of Excellence (CoE) and define enterprise architecture standards, frameworks, and governance practices
- Design scalable, secure, and high-performance Snowflake data platform architectures
- Define Snowflake best practices for data modeling, ingestion, transformation, security, and operational excellence
- Drive enterprise data modernization and migration initiatives to Snowflake
- Establish reusable frameworks, templates, accelerators, and architecture patterns
- Implement and optimize Snowflake capabilities including Virtual Warehouses, Data Sharing, Snowpark, and Cortex
- Define strategies for data governance, lineage, metadata management, and data quality
- Provide architecture guidance to data engineering, analytics, and business teams
- Conduct architecture reviews, design assessments, and performance optimization initiatives
- Mentor engineering teams and build Snowflake capabilities across the organization
Requirements
What you’ll need- Bachelor's in engineering or computer science
- 10+ years of experience in Data Engineering, Data Architecture, or Data Warehousing
- 5+ years of hands-on experience architecting and implementing Snowflake solutions
- Strong expertise in Snowflake architecture, platform design, and enterprise adoption
- Experience establishing and managing Data Platform or Snowflake CoE practices
- Deep understanding of Snowflake security, RBAC, data sharing, masking policies, and governance
- Expertise in dimensional modeling, data warehousing, and modern ELT architectures
- Experience with Snowpark and advanced Snowflake development capabilities
- Strong SQL expertise and performance tuning experience
- Experience with CI/CD, DevOps, and automated deployment processes
- Excellent stakeholder management and technical leadership skills
- Experience designing and implementing AI-driven solutions using Snowflake Cortex
- Knowledge of Cortex AI functions, LLM integration, semantic search, and ML-powered analytics
- Experience leveraging Cortex for intelligent data insights, summarization, classification, and natural language querying
- Understanding of AI governance, security, and responsible AI practices within Snowflake
- Experience with dbt for transformation and data modeling preferred
- Experience with Azure, AWS, or GCP cloud platforms preferred
- Exposure to Databricks, Spark/PySpark, and modern data ecosystems preferred
- Experience supporting Analytics, BI, and AI/ML use cases preferred
- Snowflake certifications preferred
- BFSI/Insurance domain experience is a plus
Benefits
Comp & perks- Benefits information available at https://www.exlservice.com/us-careers-and-benefits
