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.