Senior Data Engineer

Nimble Gravity

3d

About The Position

As a Senior Data Engineer, you will architect and build the foundational data pipeline infrastructure that powers our decentralized Data Mesh strategy. In this role, you will support the transition of our data ecosystem from legacy on-prem architecture to a modern cloud data platform leveraging Snowflake. You will design reference architectures and reusable pipeline patterns that support batch, event-based, and streaming data movement. Crucially, you will ensure our data platform is "AI-ready" by building the high-quality pipelines and robust semantic layers needed to drive our next-generation "Self-Service 2.0" natural language data capabilities. Beyond technical execution, you will lead a small data engineering team and serve as a technical mentor to decentralized analysts across the business, empowering them to build high-quality, self-service data products.

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.

Nice To Haves

• 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.

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.

Benefits

• You'll help leading financial institutions and other clients adopt AI in meaningful ways.
• You'll work directly with clients, engineers, and AI specialists to turn emerging technology into measurable business outcomes.
• If you enjoy teaching, facilitating, influencing, and helping people embrace new ways of working, we'd love to talk.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed