One of our Government clients is looking for a Senior Data Architect - Data Strategy Roadmap exp
Length: 12 months contract, with high possibility extensions
Location: Remote, Canada
Working Hours: 08:15 - 16:30 Alberta time, Monday through Friday excluding holidays observed by the province.
'The start date of this job is flexible and in order to find the best candidate the job may remain open much longer than the date mentioned on this posting... or you may be asked to start sooner than the expected start date if you are able to do so !'
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Requirements:
SCOPE:
The Data Centre of Excellence Unit requires the support of contingent labor in order to deliver data strategy roadmap items.
The client's data strategy implementation leverages a cloud-based Data Fabric approach to organizing and managing data assets. The Data Centre of Excellence unit is expected to support the delivery of various data products and services (e.g. analytical models, data dashboards, visualizations, etc.). This will enable data access to the stakeholders in support of critical analytical, policy, and legislative functions, processes, and activities.
As a Data Technology Strategist, this role will share insight and experience into data platforms, data architectures, and data product development technologies. This position will support a data center of excellence that delivers data products and services to enable data access, analytics and data product delivery, which support data-informed decision making. This role works with other individuals within the Data Centre of Excellence Unit, and across the organization, to effectively deliver data products as enterprise data assets. The role focuses on enabling the delivery of data products and services using modern technologies and practices with agility and focus on business outcomes, innovation, and transformation to ensure data is treated as a corporate asset.
The position works with leadership and various stakeholders, including architects and external partners in supporting the enablement of the federated data ecosystem. This will include assessments, presentation, mediation and negotiation to/with clients, vendors, peers and decision makers in order to achieve consensus in understanding of complex data relationships.
The efforts of this role will improve access to and informed use of data assets both within and outside of government in support of policy analysis, program planning, and decision-making. This role will require the ability to think and work tactically across the organization, as well as diving deeper into data topics related to data architecture, data platforms, data access, and data governance to support the Data Strategy. The role supports Data Centre of Excellence Unit's data service delivery by working collaboratively with data product developers, data architects, data engineers and data scientists on variety of data initiatives to ensure optimal data delivery architecture is consistent throughout ongoing projects.
GENERAL RESPONSIBILITIES (any or all):
- Lead discussions, meetings and workshops, as needed, with leaders/staff, partners, stakeholders, end-users, etc. to understand business direction and enterprise data/information technology requirements and their value
- Design and deliver enterprise and solution technology architecture related to data platforms.
- Assess technical requirements for variety of business initiatives, and provide architecture expertise, consultation, and recommendation to colleagues and clients (e.g., decision-makers, project teams and stakeholders), as directed by management.
- Model Proof of Concept solutions in an agile environment, including integration and orchestration approaches to operate data products and services effectively and efficiently with available resources.
- Provide guidelines for technology adoption and implementation (i.e., cloud migration, application modernization, data modernization).
- Review solutions and designs of peers, including data models and pipeline design, and provide appropriate feedback including performance optimization.
- Provide thought leadership, and drive architecture and the design of Data Management & Analytics solutions.
- Understand business strategies and priorities and translate those into data technology architecture requirements that create high-value data product solutions.
- Plan, design and deliver digitalized, modernized and rationalized information management technology solutions that meet business needs in the context of the data strategy, including Master Data Management (MDM), Data Quality, critical data identification & classification, security and access, data governance etc.
- Evaluate and recommend new technologies and applications to improve existing data product management, optimize costs, and reduce development time.
- Support the development and adoption of best practices in data management, which includes data governance, data sharing, data integration, data quality, common data and standardized methodologies.
- Guide consultation with clients and staff, as needed, on data services and provide leadership and direction on integration and pipeline design.
- Coach, mentor, and empower staff to use creative thinking and develop innovative solutions.
- Support a client centric and service-oriented spirit and delivery approach across the team.
- Support the cultural shift towards data as a strategic asset.
- Foster data solution innovation as well as continuous improvement.
- Ensure effective stakeholder engagement within the areas of responsibility ensuring an effective solution balance of enterprise and client centric needs.
- Initiate and maintain effective working relationships and partnerships with various internal and external stakeholders across the organization.
DELIVERABLES:
- Specific deliverables and due dates will be determined by the client team in conjunction with project management.
- Status reports - weekly and monthly.
Qualifications:
MUST HAVES:
The proposed resource must meet or exceed one of the following:
University graduation in business, management or a related discipline and 6-yr Data Architect (DA) experience; OR
2-yr diploma in business, management or a related discipline and 8-yr DA experience; OR
1-yr certificate in business, management or a related discipline and 9-yr DA experience;OR
10-yr DA experience
5 years of experience in defining technical architecture, data integration, supporting software development, software configuration and deployment processes.
5 years of experience designing, planning, implementing and supporting data platforms and data solutions for large projects involving multiple data sources in an architect capacity for an environment equivalent in size and complexity to the Government.
5 years of experience in multiple architecture domains e.g. business, application, technology, data/information, security, and privacy.
3 years of experience dealing with clients and explaining complex data principles in a thoughtful manner.
5 years of experience modelling complex business processes and translating them into understandable IT constructs.
NICE TO HAVES:
Excellent verbal and written communication skills and ability to interact professionally with a diverse group.
Ability to learn quickly, problem solve/troubleshoot, work independently and in a team.
The ability to establish and maintain effective working relationships with team members, management and vendors.
Ability to manage stress and conflict.
3 years of experience of Direct, hands-on experience performing business requirement analysis, solution architecture and design, and deployment for cloud based Data Management projects using cloud technologies like Azure, Snowflake, etc.
5 years of experience of Direct, hands-on experience performing business requirement analysis, solution architecture and design, and deployment related to data analysis, data analytics, data visualization, data science, data mining.
5 years of experience of Direct, hands-on experience performing business requirement analysis, solution architecture and design, and deployment related to data management, acquisition, preparation, quality and data lineage/provenance.
5 years of experience of Direct, hands-on experience with design and implementation of data security, data privacy, policies, data de-identification/anonymization, data audits/reviews, synthetic data.
5 years of Experience developing data technology roadmaps in support of a corporate data strategy.
2 years of Experience with implementing enterprise data strategy and/or data governance.
5 years of Experience in facilitating meetings and communicating with senior management and project stakeholders.
1 year of Experience in using Big Data platforms like Cloudera Data Platform
2 years of Experience with Data Fabric and Data Mesh architectures.
5 years of Experience in the development and implementation of data platforms, governance standards, processes, and mechanisms to enable organizations to manage information through its entire lifecycle.
2 years of Experience with enterprise architecture frameworks (e.g. The Open Group Architecture Framework (TOGAF), Gartner or Zachman).
Experience providing leadership, planning, estimating, and presentations of ideas and solutions.
1 year of Experience working in or for the public sector.
2 years of Experience in performing threat and risk assessments and presenting recommendations for risk mitigation to senior management.
3 years of Experience developing and delivering training materials.
Please note that this is the most up to date version of job description available at this time - During Client Interview you will receive additional information - variance may apply !
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