Senior Data Architect
New Value Solutions Group
New Value Solutions is recruiting experienced Senior Data Architects to support Government of Canada IT consulting engagements focused on enterprise data architecture, information management, data integration, cloud modernization, and digital transformation.
We are seeking accomplished Data Architects with demonstrated experience designing and implementing enterprise data architectures, developing data management strategies, and establishing scalable, secure, and reliable data solutions within large, complex technology environments.
Responsibilities:
Design, develop, and maintain enterprise data architectures, frameworks, standards, and technical roadmaps aligned with business and technology objectives.
Assess existing data environments, identify architectural gaps, and recommend improvements to data management capabilities, integration patterns, and technology platforms.
Develop conceptual and logical data architectures to support enterprise applications, analytics platforms, information management, and digital transformation initiatives.
Design data integration architectures, including ETL/ELT processes, APIs, data pipelines, and enterprise data exchange mechanisms.
Define architecture patterns and standards for data warehouses, data lakes, lakehouses, operational data stores, and enterprise reporting environments.
Develop data architecture solutions supporting on-premises, cloud, and hybrid technology environments.
Establish and apply data governance, metadata management, data quality, master data management, and data lifecycle principles.
Collaborate with enterprise architects, solution architects, data engineers, database administrators, business analysts, and business stakeholders to ensure alignment between data architecture and organizational requirements.
Evaluate data technologies, platforms, and architectural approaches, providing recommendations based on performance, scalability, security, maintainability, and business needs.
Support data migration, application modernization, legacy system transformation, and enterprise systems integration initiatives.
Define data security, privacy, access control, and information protection requirements in collaboration with cybersecurity and information management teams.
Prepare architecture diagrams, solution designs, technical standards, data flow documentation, and implementation recommendations.
Participate in architecture reviews, technical governance activities, and solution assessments to ensure compliance with enterprise standards.
Requirements:
Extensive professional experience in data architecture, enterprise data management, or related information technology disciplines.
Demonstrated experience designing and implementing enterprise data architectures within large, complex IT environments.
Strong knowledge of data architecture principles, data integration patterns, relational and non-relational databases, and enterprise information management practices.
Experience designing data warehouses, data lakes, lakehouses, or other enterprise data platforms.
Strong understanding of conceptual, logical, and physical data modelling, including enterprise data structures and information flows.
Experience developing data integration architectures involving ETL/ELT processes, APIs, data pipelines, and enterprise applications.
Knowledge of data governance, data quality, metadata management, master data management, and data lifecycle management.
Experience with enterprise database technologies such as Oracle, Microsoft SQL Server, PostgreSQL, or comparable platforms.
Experience assessing technology environments, developing architectural recommendations, and preparing technical roadmaps.
Knowledge of cloud and hybrid data architectures, including data security, privacy, scalability, and performance considerations.
Experience collaborating with enterprise architecture, solution delivery, data engineering, and business stakeholder teams.
Strong analytical, problem-solving, communication, stakeholder engagement, and technical documentation skills.
Relevant post-secondary education in Computer Science, Information Technology, Data Management, Software Engineering, or a related discipline, or an equivalent combination of education and experience.
Preferred Qualifications:
Previous experience providing data architecture services to Government of Canada departments or agencies.
Experience supporting large-scale public sector data modernization, information management, enterprise analytics, or digital transformation initiatives.
Experience with AWS data services, Snowflake, or comparable enterprise cloud data platforms.
Experience designing modern data lakehouse architectures, enterprise data pipelines, and cloud-based analytics environments.
Experience with enterprise architecture frameworks such as TOGAF or comparable methodologies.
Familiarity with Government of Canada digital standards, information management requirements, and enterprise architecture practices.
Experience implementing data governance frameworks, data catalogues, metadata management solutions, and enterprise data quality controls.
Experience with data modelling and architecture tools such as ERwin, ER/Studio, Sparx Enterprise Architect, or comparable platforms.
Relevant certifications in enterprise architecture, data management, cloud data architecture, or Microsoft Azure data technologies.
Experience working within formal government architecture governance, security, privacy, and change management frameworks.
Existing Government of Canada Reliability Status or Secret security clearance.
About New Value SolutionsNew Value Solutions is a Canadian IT consulting and professional services firm with extensive experience supporting public sector organizations across Canada. We specialize in connecting experienced technology and business professionals with consulting engagements involving enterprise systems, digital transformation, cybersecurity, and IT modernization.
Engagements are available across Canada, with remote, hybrid, and onsite arrangements, start dates, and assignment details determined by individual client requirements as contracts are secured.
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We are seeking accomplished Data Architects with demonstrated experience designing and implementing enterprise data architectures, developing data management strategies, and establishing scalable, secure, and reliable data solutions within large, complex technology environments.
Responsibilities:
Design, develop, and maintain enterprise data architectures, frameworks, standards, and technical roadmaps aligned with business and technology objectives.
Assess existing data environments, identify architectural gaps, and recommend improvements to data management capabilities, integration patterns, and technology platforms.
Develop conceptual and logical data architectures to support enterprise applications, analytics platforms, information management, and digital transformation initiatives.
Design data integration architectures, including ETL/ELT processes, APIs, data pipelines, and enterprise data exchange mechanisms.
Define architecture patterns and standards for data warehouses, data lakes, lakehouses, operational data stores, and enterprise reporting environments.
Develop data architecture solutions supporting on-premises, cloud, and hybrid technology environments.
Establish and apply data governance, metadata management, data quality, master data management, and data lifecycle principles.
Collaborate with enterprise architects, solution architects, data engineers, database administrators, business analysts, and business stakeholders to ensure alignment between data architecture and organizational requirements.
Evaluate data technologies, platforms, and architectural approaches, providing recommendations based on performance, scalability, security, maintainability, and business needs.
Support data migration, application modernization, legacy system transformation, and enterprise systems integration initiatives.
Define data security, privacy, access control, and information protection requirements in collaboration with cybersecurity and information management teams.
Prepare architecture diagrams, solution designs, technical standards, data flow documentation, and implementation recommendations.
Participate in architecture reviews, technical governance activities, and solution assessments to ensure compliance with enterprise standards.
Requirements:
Extensive professional experience in data architecture, enterprise data management, or related information technology disciplines.
Demonstrated experience designing and implementing enterprise data architectures within large, complex IT environments.
Strong knowledge of data architecture principles, data integration patterns, relational and non-relational databases, and enterprise information management practices.
Experience designing data warehouses, data lakes, lakehouses, or other enterprise data platforms.
Strong understanding of conceptual, logical, and physical data modelling, including enterprise data structures and information flows.
Experience developing data integration architectures involving ETL/ELT processes, APIs, data pipelines, and enterprise applications.
Knowledge of data governance, data quality, metadata management, master data management, and data lifecycle management.
Experience with enterprise database technologies such as Oracle, Microsoft SQL Server, PostgreSQL, or comparable platforms.
Experience assessing technology environments, developing architectural recommendations, and preparing technical roadmaps.
Knowledge of cloud and hybrid data architectures, including data security, privacy, scalability, and performance considerations.
Experience collaborating with enterprise architecture, solution delivery, data engineering, and business stakeholder teams.
Strong analytical, problem-solving, communication, stakeholder engagement, and technical documentation skills.
Relevant post-secondary education in Computer Science, Information Technology, Data Management, Software Engineering, or a related discipline, or an equivalent combination of education and experience.
Preferred Qualifications:
Previous experience providing data architecture services to Government of Canada departments or agencies.
Experience supporting large-scale public sector data modernization, information management, enterprise analytics, or digital transformation initiatives.
Experience with AWS data services, Snowflake, or comparable enterprise cloud data platforms.
Experience designing modern data lakehouse architectures, enterprise data pipelines, and cloud-based analytics environments.
Experience with enterprise architecture frameworks such as TOGAF or comparable methodologies.
Familiarity with Government of Canada digital standards, information management requirements, and enterprise architecture practices.
Experience implementing data governance frameworks, data catalogues, metadata management solutions, and enterprise data quality controls.
Experience with data modelling and architecture tools such as ERwin, ER/Studio, Sparx Enterprise Architect, or comparable platforms.
Relevant certifications in enterprise architecture, data management, cloud data architecture, or Microsoft Azure data technologies.
Experience working within formal government architecture governance, security, privacy, and change management frameworks.
Existing Government of Canada Reliability Status or Secret security clearance.
About New Value SolutionsNew Value Solutions is a Canadian IT consulting and professional services firm with extensive experience supporting public sector organizations across Canada. We specialize in connecting experienced technology and business professionals with consulting engagements involving enterprise systems, digital transformation, cybersecurity, and IT modernization.
Engagements are available across Canada, with remote, hybrid, and onsite arrangements, start dates, and assignment details determined by individual client requirements as contracts are secured.
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