Key skills
AirflowAWSCloudPythonSQLAIMLGenAILLMELTData EngineeringData WarehousingAnalyticsSnowflakedbtLambdaS3IAMBedrockPerformance OptimizationSaaSCommunication
About this role
Role Overview
- Design, build, and maintain scalable data pipelines using Snowflake as the central data platform
- Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases
- Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics
- Integrate and operationalize AI workflows using AWS Bedrock and related AWS services (e.g., Lambda, Step Functions)
- Build and optimize ELT pipelines using tools such as dbt, SQL, and Python
- Integrate data from diverse sources including APIs, SaaS platforms, databases, and event streams
- Ensure data quality, observability, and governance across pipelines and AI workloads
- Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions
- Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability
Requirements
- 4+ years of experience in data engineering, with strong hands-on Snowflake experience
- Practical experience building AI-enabled data solutions or preparing data for ML/LLM workloads
- Strong proficiency in SQL and Python for data transformation and pipeline development
- Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities
- Hands-on experience with AWS, ideally including AWS Bedrock, Lambda, S3, and IAM
- Experience with ELT tooling such as dbt, Airflow, or similar orchestration frameworks
- Solid understanding of data modeling, data warehousing, and performance optimization
- Comfortable working in cloud-native, enterprise environments with high delivery expectations
- Strong communication skills and ability to collaborate across technical and business teams
Tech Stack
- Airflow
- AWS
- Cloud
- Python
- SQL
Benefits
- Opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock
- High-impact role at the intersection of data engineering and applied AI
- Exposure to private equity-backed enterprise transformation programs
- Global, collaborative team with strong technical standards
- Flexible, remote-first working environment with autonomy and ownership