We are seeking an experienced Snowflake Architect with 10+ years of experience in designing, architecting, and governing enterprise-scale data platforms. The ideal candidate will be responsible for driving Snowflake Center of Excellence (CoE) initiatives, establishing architecture standards, defining best practices, and leading enterprise-wide adoption of Snowflake capabilities including Snowflake Cortex, data governance, security, and performance optimization. The role requires strong expertise in Snowflake architecture, modern cloud data platforms, data modeling, ELT frameworks, and AI-powered analytics solutions.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Base Compensation Range: 100,000 - 150,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
ResponsibilitiesKey Responsibilities
- 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.
Required Skills and Qualifications
- 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.
Snowflake Cortex Requirements
- 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.
Preferred Skills
- Experience with dbt for transformation and data modeling.
- Experience with Azure, AWS, or GCP cloud platforms.
- Exposure to Databricks, Spark/PySpark, and modern data ecosystems.
- Experience supporting Analytics, BI, and AI/ML use cases.
- Snowflake certifications preferred.
- BFSI/Insurance domain experience is a plus.
Bachelor's in engineering or computer science
Skills Required
- 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 Center of Excellence 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
- Experience with Azure, AWS, or GCP cloud platforms
- Exposure to Databricks, Spark/PySpark, and modern data ecosystems
- Experience supporting analytics, BI, and AI/ML use cases
- Snowflake certifications
- BFSI or insurance domain experience
- Bachelor's degree in engineering or computer science
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
