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Accenture

Advises businesses and runs their technology

Data Architecture Consultant Lead

Data EngineeringConfirmed live in the last 24 hours
Full-time$108.8k - $220.4k /yr

About the Job

Requirements

  • A minimum of 8 years of experience implementing data architecture and solutions is required.
  • A minimum of 5 years of experience delivering and implementing Data & Analytics solutions on Azure, AWS, Google Cloud, or on-premises infrastructure using appropriate services to deliver client value is required.
  • Strong hands-on experience building data pipelines, such as with Spark and Kafka, is required.
  • A minimum of 5 years of experience developing modern data platforms and architecting solution components for a scalable, secure enterprise data platform is required.
  • Experience developing or migrating on-premises Spark workloads to the cloud is required.
  • A solutions architect certification in one of Azure, AWS, or Google Cloud is required.
  • Reliability clearance is mandatory.
  • A bachelor's degree or completion of a college program in computer science or a related field is required.
  • English is required because the role regularly interacts with English-speaking stakeholders across Canada, the United States, and other countries; the interaction volume and nature of the role make this requirement unavoidable.

Responsibilities

  • Own the target-state reference architecture across all platform layers.
  • Lead discovery and architecture definition, including data-source inventory, classification, and use-case prioritization.
  • Make and document component-sourcing decisions that are defensible based on support, patching, and operational burden.
  • Direct the technical work of platform, data, and security team members, and adjudicate design trade-offs where the secure environment constrains the intended pattern.
  • Lead the technology solution, architecture, and delivery of large or complex, full-lifecycle data applications across cloud, hybrid, and on-premises environments.
  • Design and build robust data pipelines using scalable architecture, tools, and techniques to produce high-quality data structures.
  • Design data solutions; architect data-transformation projects; develop solution blueprints and data modernization or migration plans; and document and present recommendations to clients or stakeholders.
  • Implement faster data-processing methods and integrate complex business logic compatible with daily or real-time streaming frameworks.
  • Increase automation and scaling of complex data sets for customer analytics use cases, including structured data delivery for business analysis, daily extraction of mission-enabling data for data mining or exploration, and transformation of data for applied intelligence and data visualizations.
  • Drive business and proactive development activities, including proposal responses and recruitment.

Desired Qualifications

  • Previous consulting or client-service delivery experience is desirable.
  • A master's degree is desirable.
  • Eligibility for Canadian Secret Security clearance is preferred.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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