Senior Data Engineer

Nimble Gravity helps financial institutions and other clients adopt AI to achieve measurable business outcomes. The Senior Data Engineer will architect and build cloud-based data pipelines supporting a decentralized Data Mesh strategy and Snowflake platform modernization. The role also leads a small data engineering team, mentors analysts, and develops semantic layers and AI-ready data capabilities.

Responsibilities:

• Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-prem and cloud sources
• Serve as the core developer for our Snowflake data platform, ensuring optimal performance, modeling, and storage structures
• Architect and build transform pipelines that deliver high-quality data inputs to Snowflake and dbt AI features. Design and maintain the robust semantic layers and metadata models required to power "Self-Service 2.0" natural language user interfaces
• Establish robust reference architectures, standard templates, and CI/CD best practices to enable decentralized line-of-business teams to build safely
• Provide direct management and career mentorship to one data engineer (with room to grow). Act as a guide for self-taught domain data analysts to mature their engineering practices
• Drive the adoption of dbt for data transformation and explore the integration of AWS and Azure cloud data tools (ADF, Azure Functions, Stream Analytics) to optimize data flow

Requirements:

• 5–7 years of dedicated data engineering experience, with a proven track record of building production-grade data pipelines
• Advanced, hands-on experience with Snowflake architecture, performance tuning, and data sharing is a strict requirement
• Proven experience moving data across hybrid environments (on-prem to cloud) utilizing batch, streaming (e.g., Stream Analytics), and event-driven patterns
• Experience building or maintaining semantic layers (e.g., dbt Semantic Layer, Snowflake Cortex/Semantic definitions) and structuring data specifically for consumption by downstream AI, LLM, or natural language search features
• Strong Python skills, particularly in cloud environments (e.g., writing Azure Functions for data workloads) and strong SQL capabilities
• A collaborative, coaching mindset with a passion for teaching, establishing governance, and raising the technical bar for cross-functional teams
• We do not sponsor H1B visas
• Exposure to dbt is highly preferred
• Experience with Azure data tools (Azure Data Factory) is a strong plus; familiarity with AWS data ecosystems is nice to have