Senior Snowflake Developer

Senior Snowflake Developer (Remote - USA)

Location: Remote (USA)

Employment Type: Full-Time

Experience: 5-10+ Years

Department: Healthcare Analytics - Data & AI Engineering

About EXL

At EXL, we are driving large-scale data modernization, cloud transformation, and AI initiatives for leading healthcare organizations across the United States. We are building a high-performing Data & AI Engineering team to develop modern data platforms, advanced analytics solutions, and AI-powered applications leveraging Snowflake and cloud technologies.

We are seeking an experienced Senior Snowflake Developer who can architect, build, optimize, and support enterprise-grade Snowflake solutions while enabling next-generation AI and GenAI use cases using Snowflake Cortex, Snowpark, and related technologies.

Snowflake Hiring Form

Please complete the form below to proceed with the evaluation process.

https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=vEn-2sNaEEOXtD5Eooy\_GD6F2D5nFulJjJKQXM0HKB1UQTI4MU0xNkxIM1hKWUJHQktQNU5SVEhEMC4u

Key ResponsibilitiesSnowflake Development & Data Engineering

• Design, develop, and maintain scalable data warehouse solutions on Snowflake.
• Build and optimize ELT/ETL pipelines for large-scale healthcare and enterprise datasets.
• Develop Snowflake databases, schemas, tables, views, materialized views, stored procedures, tasks, streams, and Snowpipe solutions.
• Implement data ingestion frameworks for structured, semi-structured, and unstructured data.
• Develop reusable and scalable data engineering frameworks.
• Design enterprise data models including dimensional and analytical models.

Snowflake AI & GenAI

• Build AI-powered data applications using Snowflake Cortex and Cortex AI.
• Develop solutions leveraging Cortex Analyst, Cortex Search, and Snowflake Document AI.
• Build Retrieval-Augmented Generation (RAG) solutions using enterprise data stored in Snowflake.
• Integrate Large Language Models (LLMs) and Generative AI capabilities into business workflows.
• Develop AI/ML applications using Snowpark Python.
• Collaborate with AI Engineers and Data Scientists to deploy intelligent data products.

Cloud & Data Platform Engineering

• Build and maintain cloud-native data solutions on AWS, Azure, or GCP.
• Develop modern data integration solutions.
• Implement real-time and batch data processing frameworks.
• Support enterprise data lake, lakehouse, and modern data platform initiatives.

Performance Optimization & Cost Management

• Optimize Snowflake workloads for performance and scalability.
• Implement efficient warehouse sizing strategies and workload management.
• Tune SQL queries and transformations.
• Monitor Snowflake usage and recommend cost optimization opportunities.

Security & Governance

• Implement RBAC, row-level security, masking policies, and secure data-sharing practices.
• Ensure compliance with HIPAA and healthcare data governance requirements.
• Support metadata management, data lineage, and data quality initiatives.

Leadership & Collaboration

• Partner with business stakeholders, architects, product owners, and engineering teams.
• Provide technical guidance and mentorship to junior developers.
• Participate in architecture reviews and solution design discussions.
• Drive best practices across Snowflake development and cloud data engineering.

Required QualificationsExperience

• 6+ years of overall Data Engineering experience.
• 5+ years of hands-on Snowflake development experience.
• Experience working with US-based clients and distributed global teams.
• Healthcare domain experience preferred.

Snowflake Expertise

Strong experience with

• Snowflake Architecture
• Virtual Warehouses
• Micro-partitions
• Clustering Keys
• Time Travel
• Zero-Copy Cloning
• Snowpipe
• Streams & Tasks
• Data Sharing
• Secure Views
• External Tables
• Performance Tuning
• Cost Optimization

Programming & Development

• Advanced SQL
• Python
• Snowpark Python

AI & Advanced Analytics Experience with one or more of:

• Snowflake Cortex
• Cortex Analyst
• Cortex Search
• Document AI
• Generative AI Solutions
• LLM Integration
• RAG Architecture
• Vector Search
• AI-Powered Data Applications

Cloud Platforms Hands-on experience with at least one:

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

DevOps & Deployment

• Git/GitHub/GitLab
• CI/CD Pipelines
• Azure DevOps
• Jenkins
• Terraform
• Infrastructure as Code (IaC)

Preferred Qualifications

• SnowPro Core Certification.
• SnowPro Advanced Certifications.
• Experience with Databricks and Lakehouse Architecture.
• Exposure to Healthcare Analytics.
• Experience implementing enterprise AI and GenAI solutions.
• Knowledge of MLOps and AI governance frameworks.
• Experience in customer-facing consulting engagements.

Soft Skills

• Excellent verbal and written communication skills.
• Strong client-facing and stakeholder management skills.
• Ability to lead technical discussions and solution design workshops.
• Strong analytical and problem-solving skills.
• Ability to work independently in a fully remote environment aligned with US business hours.

Nice to Have

• Healthcare Payer/Provider domain experience.
• Experience with OpenAI, Azure OpenAI, Anthropic, or similar AI platforms.
• Experience building chatbots, copilots, and AI assistants.
• Experience supporting data modernization and cloud migration programs.

Why Join EXL?

• Work remotely with leading US healthcare clients.
• Build cutting-edge Snowflake AI and GenAI solutions.
• Collaborate with highly skilled Data, AI, and Cloud Engineering teams.
• Opportunity to work on large-scale data modernization programs.
• Exposure to the latest Snowflake, Cortex AI, and cloud technologies.
• Accelerated career growth in a rapidly expanding Data & AI practice.