Senior Data Engineer & Data Mesh Lead (Snowflake)

Higlobe, Inc.; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

Nimble Gravity is seeking a Senior Data Engineer to architect and build our data pipeline infrastructure as part of a modern Data Mesh strategy. You will lead migration from on-prem to a cloud-based Snowflake platform and design AI-ready semantic layers to power self-service data capabilities.

You will own pipeline patterns for batch, streaming, and event-driven movement, mentor a small data team, and collaborate with analysts to elevate data quality and governance across decentralized business

Qualifications

• 5–7 years of dedicated data engineering experience, with a proven track record of building production-grade data pipelines.
• Snowflake Expertise: Advanced, hands-on experience with Snowflake architecture, performance tuning, and data sharing is a strict requirement.
• Data Integration: Proven experience moving data across hybrid environments (on-prem to cloud) utilizing batch, streaming, and event-driven patterns.
• Semantic & AI Context: Experience building or maintaining semantic layers and structuring data specifically for consumption by downstream AI, LLM, or natural language search features.
• Software Skills: Strong Python skills, particularly in cloud environments (e.g., writing Azure Functions for data workloads) and strong SQL capabilities.
• Frameworks & Clouds: 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.
• Leadership Style: A collaborative, coaching mindset with a passion for teaching, establishing governance, and raising the technical bar for cross-functional teams.

Responsibilities

• Pipeline Architecture: Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-prem and cloud sources.
• Snowflake Platform Ownership: Serve as the core developer for our Snowflake data platform, ensuring optimal performance, modeling, and storage structures.
• AI Readiness & Semantic Modeling: 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.
• Data Mesh Enablement: Establish robust reference architectures, standard templates, and CI/CD best practices to enable decentralized line-of-business teams to build safely.
• Leadership & Mentorship: 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.
• Modernization & Tooling: 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.

Skills

Python

SQL

Snowflake

dbt

Azure Functions

Azure Data Factory

Data Modeling

Leadership

Tools

dbt

Azure Data Factory

Snowflake

AWS

Job description

Nimble Gravity is seeking a Senior Data Engineer to architect and build our data pipeline infrastructure as part of a modern Data Mesh strategy. You will lead migration from on-prem to a cloud-based Snowflake platform and design AI-ready semantic layers to power self-service data capabilities.

You will own pipeline patterns for batch, streaming, and event-driven movement, mentor a small data team, and collaborate with analysts to elevate data quality and governance across decentralized business