Senior Data Engineer

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PATH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1977

💰 Grant - PATH on 2025-07

PATH is a global nonprofit dedicated to health equity. With nearly 50 years of experience forging multisector partnerships, and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.

📋 Description

• Collaborate with business stakeholders and product owners to understand data product objectives, requirements, and success criteria • Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure in cloud-native and hybrid environments • Lead development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics • Manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2 with the Data Architect • Integrate diverse source systems, including ServiceNow and geospatial systems, using APIs, connectors, and custom scripts • Develop and maintain data models and semantic layers for operational reporting, analytics, machine learning, and downstream consumption • Build and optimize Python and SQL workflows for data cleansing, enrichment, and advanced analytics in Azure Databricks • Design and expose secure data services and APIs using Azure API Management • Implement metadata management, data classification, and lineage tracking • Ensure privacy and regulatory compliance through role-based access controls, encryption, and data masking • Monitor and troubleshoot data pipelines and integrations for reliability, scalability, and performance • Use AI and automation tools for pipeline development, testing, monitoring, and documentation • Leverage AI-assisted tools for code generation, optimization, and review • Design and curate standardized, high-quality datasets for advanced analytics and future AI use cases • Perform other duties as needed

🎯 Requirements

• Experience designing scalable, secure, and high-performance data architecture on Microsoft Azure • Experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics • Experience managing Azure Data Lake Storage Gen2 • Experience integrating ServiceNow and geospatial systems using APIs, connectors, and custom scripts • Proficiency in Python and SQL • Knowledge of data modeling and semantic layers • Knowledge of Azure API Management • Knowledge of metadata management, data classification, and data lineage • Knowledge of role-based access controls, encryption, and data masking • Knowledge of FOIP and GDPR compliance • Ability to use AI and automation tools for data engineering workflows • Ability to use AI-assisted tools for code generation, optimization, and code review