What impact will you make?
Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivalled opportunities to succeed and realize your full potential.
What you will do?
Main Purpose of Job
As a Big Data Architect in our Data Analytics practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.
Specifically, in this role, you will:
- Lead, define, design and implement end-to-end modern data platforms in support of analytics and AI use cases
- Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
- Define and develop solution architectures, lead development teams, estimate effort and mentor junior colleagues
- Lead technical meetings with client staff, and advise client with technical option analyses based on leading practices
Qualifications
- Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired; certifications in architecture (TOGAF), data engineering and development on AWS, Azure, GCP and/or Hadoop distributions are an asset.
- 5+ years’ experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (AWS, Azure, GCP) and hybrid architectures to enable use cases in analytics and AI
- 5+ years’ experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- 3+ years’ experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
- Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
Specialized Competencies
- Supports Data Analytics team in the implementation of client delivery on specific engagements Applies deep knowledge of technology to drive continuous improvement.
Behavioural Competencies
- Good communication skills, both written and verbal
- Interpersonal and relationship building skills
- Desire to develop self
- Client delivery focus
- Adaptable
- Focus on quality
- Problem solving ability
- Analytical
Additional information
- Please note that this job advertisement provides a summary of the capabilities required and all candidates shortlisted will receive a full list of capabilities.
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