数据架构师 - 高级 JP937
Data Architect - Senior JP937
项目名称：
One Data Alberta 计划与 Crosswalk
范围：
数据卓越中心（DCoE）需要一名高级数据架构师，以支持 OneData Alberta 和 Crosswalk 项目的重点路线图事项的交付。
阿尔伯塔省政府通过基于云和本地的数据织构（Data Fabric）和/或数据网格（Data Mesh）框架，推动 OneData Alberta 和 Crosswalk 项目。该框架用于组织、管理和交付企业数据资产。DCoE 负责交付高价值的数据资产和服务，如分析模型、仪表板和可视化工具，以支持关键的分析、政策和立法功能。此职位对于确保这些数据资产以可扩展、安全和可持续的方式进行架构设计、治理和交付至关重要。
该职位提供对 OneData Alberta 和 Crosswalk 项目的高级架构领导和战略方向。包括领导数据访问的基础性工作，如模式分析、数据剖析，以及企业数据架构、企业数据模型、数据质量（DQ）框架和元数据标准的开发。该角色还指导数据关联和 Crosswalk 框架的设计与实现，使联邦数据生态系统中的数据实现集成和互操作，并支持 OneData Alberta 战略数据资产的开发。
作为数据架构师，该职位具备现代数据平台、架构和数据产品开发实践的深厚专业知识。它支持数据卓越中心的演进，使其能够交付可重用、高质量的数据产品和服务，从而提升整个组织的数据访问能力、高级分析能力和数据驱动的决策水平。
该职位与领导层、架构师、交付团队和外部合作伙伴紧密合作，以实现联邦数据生态系统。需要强大的利益相关者参与能力，包括促进讨论、协调复杂的数据关系，并在多样化的技术和业务群体中建立共识。
该职位在推动将数据视为战略企业资产的文化转变方面发挥关键作用，促进创新，并确保业务优先事项与数据技术解决方案保持一致。
职责：
通用职责（任何或全部）：
架构与策略领导
领导数据平台的企业和解决方案架构的设计与交付
查看英文原文
Project Name:
One Data Alberta Program and Crosswalk
Scope:
The Data Centre of Excellence (DCoE) requires a Senior Data Architect to support the delivery of key roadmap items for the OneData Alberta and Crosswalk initiatives.
The Government of Alberta's approach to OneData Alberta and Crosswalk initiatives is enabled through a cloud-based and on-premise Data Fabric and/ Data Mesh framework for organizing, managing, and delivering enterprise data assets. The DCoE is responsible for delivering high-value data assets and services—such as analytical models, dashboards, and visualizations—to support critical analytical, policy, and legislative functions. This role is essential to ensuring these data assets are architected, governed, and delivered in a scalable, secure, and sustainable manner.
This position provides senior-level architectural leadership and strategic direction across the OneData Alberta and Crosswalk initiatives. It includes leading foundational activities for Data Access such as schema analysis, data profiling, and the development of enterprise data architecture, enterprise data models, data quality (DQ) frameworks, and metadata standards. The role also guides the design and implementation of data linkages and crosswalk frameworks, enabling integrated and interoperable data across a federated data ecosystem, and supporting the development of strategic data assets for OneData Alberta.
As a Data Architect, this role contributes deep expertise in modern data platforms, architectures, and data product development practices. It supports the evolution of a Data Centre of Excellence that delivers reusable, high-quality data products and services, enabling improved data access, advanced analytics, and data-informed decision-making across the organization.
The role works closely with leadership, architects, delivery teams, and external partners to enable a federated data ecosystem. It requires strong stakeholder engagement, including facilitating discussions, mediating complex data relationships, and building consensus among diverse technical and business groups.
This position plays a key role in advancing the cultural shift toward treating data as a strategic enterprise asset, fostering innovation, and ensuring alignment between business priorities and data technology solutions.
Duties:
General Responsibilities (any or all):
Architecture & Strategy Leadership
Lead the design and delivery of enterprise and solution architecture for data platforms, AI-enabled data products, and data integration solutions across platforms such as Snowflake, Microsoft Azure, and Cloudera
Provide architectural guidance in cloud environments, including solution design for AI-enabled data products, agentic frameworks, secure data sharing frameworks, and data linkage capabilities
Define and govern enterprise data models, architecture standards, and best practices
Translate business strategies and priorities into scalable, secure, and high-performing data architecture solutions
Provide thought leadership in Data Management, Analytics, and AI-driven architecture
Data Platform & Product Enablement
Support the design, development, and delivery of data products within Data Fabric and/or Data Mesh frameworks across Snowflake, Microsoft Azure, and Cloudera environments
Guide the implementation of data linkages, crosswalk frameworks, integration patterns, and secure data sharing frameworks to enable consistent, governed, and reliable data exchange
Establish frameworks for data quality, metadata management, and AI-enabled data assets
Contribute to the design of semantic layers and data models that support reusable and interoperable data products
Develop and validate proof-of-concept solutions, including data integration, orchestration, and AI-enabled and agentic use cases
Stakeholder Engagement & Advisory
Lead workshops, discovery sessions, and stakeholder engagements to define and validate requirements and business value
Provide architectural consultation and recommendations to leadership, project teams, and stakeholders
Prepare and deliver presentations to steering committees and senior stakeholders
Facilitate alignment and consensus on complex data, AI, and technology solutions across diverse stakeholder groups
Governance, Standards & Innovation
Define and promote best practices in data governance, data sharing, secure data exchange, data integration, and data quality
Support data modernization initiatives, including cloud adoption, platform transformation, and AI enablement across Snowflake, Microsoft Azure, and Cloudera
Evaluate and recommend emerging technologies, including AI and agentic frameworks, to optimize data product delivery, interoperability, and cost efficiency
Ensure alignment with enterprise priorities, including security, privacy, information management, data classification, and secure data sharing standards
Delivery Support & Collaboration
Collaborate with data architects, engineers, scientists, and product teams to ensure consistent architecture and design across initiatives
Review solution designs, data models, and pipelines across cloud and hybrid platforms, providing guidance on optimization, scalability, and performance
Support the development of sustainable and scalable processes for data product delivery
Manage tasks, track action items, and escalate risks or issues as required
Coordinate inputs, approvals, and sign-offs across stakeholders and departments
Leadership & Organizational Enablement
Coach, mentor, and support team members in developing innovative data and AI-driven solutions
Promote a client-centric, service-oriented delivery approach
Foster a culture of innovation, continuous improvement, and data as a strategic asset
Build and maintain strong relationships with internal and external stakeholders
Deliverables
Architecture designs, models, and recommendations aligned with project and enterprise needs
Data product, AI solution, and platform design artifacts across Snowflake, Microsoft Azure, and Cloudera
Proof-of-concept implementations, including AI-enabled and agentic use cases, and technical assessments
Documentation supporting data linkages, semantic layers, integration patterns, and secure data sharing frameworks
Weekly and monthly status reports
Additional deliverables as defined by project and client teams
Originally posted on Himalayas