Job Description

Hi

Role: LDE (Lead Data Engineer Azure)

Location: Remote (EST hours)

Experience: 7 to 10+ years

Job description:

We are looking for a highly experienced Senior Data Engineer with a strong focus on Azure Data Services and DBT , complemented by expertise in Snowflake and Snowflake Cortex . The ideal candidate will lead the design and development of scalable data pipelines, ensure data quality and governance, and support AI-driven analytics using Snowflake Cortex and GenAI capabilities. This role is ideal for someone who thrives in a cloud-native, data-first environment and enjoys working across engineering and analytics teams.

Key Responsibilities

Azure & DBT-Focused Data Engineering

• Design, build, and optimize scalable data pipelines using Azure Data Factory , DBT , and Databricks .

• Develop modular, testable DBT models for data transformation and analytics.

• Implement data orchestration and workflow automation in Azure environments.

• Ensure high performance, reliability, and scalability of data workflows.

Snowflake & Cortex Integration

• Build and maintain Snowflake-based data architectures and pipelines.

• Leverage Snowflake Cortex functions for:

• Anomaly Detection, Time-Series Forecasting, Classification

• Text Completion, Embedding, Sentiment Analysis, Summarization

• Integrate Snowflake Cortex with UI tools like Copilot , Universal Search , and Document AI .

Data Quality & Governance

• Implement robust data validation frameworks using:

• Snowflake Cortex anomaly detection

• Custom logic via Snowpark UDFs

• Collaborate with analytics teams to deliver clean, trusted datasets.

• Ensure compliance with data governance, privacy, and security standards.

Required Qualifications

• 7+ years of experience in data engineering, with a strong focus on Azure Data Factory , DBT , and Databricks .

• Deep expertise in Snowflake and Snowpark APIs.

• Experience with Snowflake Cortex ML and LLM functions.

• Strong proficiency in Python and SQL .

• Familiarity with open-source LLMs and GenAI integration within Snowflake.

• Excellent understanding of data modeling, transformation, and pipeline optimization.

• Strong collaboration skills across engineering, analytics, and business teams.

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