
1001 - 5000 employees
Founded 1977
đź’° 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.
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1001 - 5000 employees
Founded 1977
đź’° 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.
• Define and maintain target-state data architecture integrating DRAS, the Databricks Data Management Platform, and the Alberta Geospatial Platform • Design conceptual, logical, and physical data models for regulatory, environmental, and geospatial data domains • Establish batch, near-real-time, event-driven, API-based, and change-data-capture integration patterns • Design Databricks lakehouse structures, including bronze, silver, and gold layers, Delta Lake tables, and Unity Catalog organization • Architect spatial data flows preserving geometry, coordinate reference systems, and spatial accuracy • Lead the design of data pipelines and interfaces with data engineers and developers • Define data contracts, API specifications, and interface agreements • Resolve integration issues involving data quality, schema changes, latency, and system dependencies • Participate in sprint planning, backlog refinement, reviews, and translate architecture into user stories • Embed metadata management, lineage, data classification, and master and reference data governance • Ensure compliance with Government of Alberta information security, privacy, and records management standards • Define data quality rules, validation frameworks, and monitoring approaches • Apply role-based access controls and data-sharing policies • Advise program leadership, product owners, and technical teams on data architecture • Translate regulatory processes into data requirements • Coordinate with enterprise architecture, cybersecurity, and ministry platform teams • Produce architecture documentation, diagrams, and decision records • Mentor team members and promote data architecture best practices
• University degree in Computer Science, Information Systems, Engineering, Geomatics, or a related field • 7+ years of progressive experience in data architecture, data engineering, or data integration • At least 3 years in a data architect role • Hands-on experience designing solutions on Databricks, including Delta Lake, Spark (PySpark/SQL), and Unity Catalog • Strong experience with relational, dimensional, and lakehouse data modelling • Experience designing enterprise integration patterns, including REST APIs, ETL/ELT, event streaming, and change data capture • Experience with cloud data platforms, preferably Microsoft Azure, including Data Lake Storage, Data Factory, Event Hubs, and Key Vault • Experience with ServiceNow Integration • Experience in the public sector, ideally with government regulatory systems or programs • Experience integrating with geospatial platforms • Working knowledge of geospatial data concepts, formats, and standards • Understanding of data governance, metadata management, data quality, and data security principles • Experience working in agile delivery teams • Public-sector experience in a similar capacity • Excellent communication skills and ability to explain technical concepts to non-technical audiences
• Remote work arrangement indicated by the role title • Agile, multidisciplinary team environment • Mentoring and knowledge-sharing opportunities • Opportunity to work on a province-wide environmental regulatory modernization program
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