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BIG Data Architect

Job Location: Location Negotiable

Job Number: 00701545


- Job description

Aligning technology with business strategy and goals they work directly with the client gathering requirements to analyze, design and/or implement technology best practice business changes. They are sought out as experts internally and externally for their deep functional or industry expertise, domain knowledge, or offering expertise. They enhance Accenture's marketplace reputation.


Innovate with the newest technologies.

Be part of the New. Now.

Unleash your skills and transform the world around you. Shape the technology of tomorrow, with the latest digital methodologies and design thinking, like cloud, AI, intelligent automation, DevOps and Agile. Implement innovative solutions to help clients drive disruption and stay ahead of the digital curve.

Developing, designing and maintaining technologies that improve the way our clients and the world works. Supporting the core of Accenture's Technology business, they use curiosity to solve Technology problems through developing, designing, and maintaining software products or systems that enable client strategies. Working in challenging and dynamic environments, they use their versatility to create and support technology solutions that meet client requirements from analysis to implementation.

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career.

People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward.


Our offer

  • Unparalleled opportunities to build a career
  • Comprehensive and specialized training covering business acumen, digital acumen, technical and professional skills development
  • Career development opportunities and perspective
  • Challenging and exciting projects at some of the world's leading companies in all industries
  • Access to a global network of deeply skilled and experienced supply chain professionals

Job Description

We are looking for a Big Data Architect and Team Lead who has a passion and interest to help organizations optimize their business performance by ingesting, processing, and managing big volumes of fast multi structured data as well as extracting meaningful value from these large volumes of data. You will have the knowledge and previous experience of using Big Data methodologies, solutions and platforms and tools to enable you to help our clients.


You will be expected to be able to work independently and, in a team, and have experience working in an agile environment. We are looking for someone who is a passionate architect and you must have the ability to articulate your ideas and work well with our clients at the architectural level. You will need to have strong communication skills and be comfortable and confident engaging and leading our team members and key client stakeholders. You will have also worked across multiple platforms such as Cloudera, Hortonworks, Google Cloud, Azure and AWS and have previous experience of building Enterprise Data Lakes. Additional experience in metadata driven data ingestion, Big data metadata management, governance and implementing data security controls would be advantageous.


Your Experience

As a Big Data Architect, you will be responsible for guiding the full lifecycle of a Big Data solution, including:

  • Focus on designing and implementing Big Data Pipelines
  • Managing and engaging with key client stakeholders and leading an internal team of developers and engineers
  • Take ownership for end to end solution integrity (including design, build, test and deploy)
  • Work with and guiding clients to ensure the best application of big data solutions is chosen for their current situation
  • Effectively communicate with clients to contribute throughout the end-to-end delivery lifecycle of complex and large-scale Big Data lakes
  • Maintain and communicate the current-state architecture (where we are today) and the target-state architecture vision (where we are going)
  • Support in Proof of concept execution to prove the value of Big Data use cases
  • Help facilitate the full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment
  • Review of all technical approaches for platform enhancements and customer solutions
  • Track and monitor progress of tasks and proactively raise issues which may impact delivery
  • Support the translation of the technical architecture into backlog generation, estimation exercises for sprint planning and future release planning and the review and signoff of all technical deliverables

Our Expectations include the ability and experience to perform the following:

  • 3-5 years of hands on experience across at least 2 Big Data project implementations
  • Ability to articulate technology choices in addressing architecture concerns and constraints
  • At least 5 years of consulting experience having successfully led large teams in delivering customer outcomes
  • Understanding of DevOps pipelines and key Agile concepts
  • Knowledge of cloud infrastructure (particularly AWS or Azure)
  • Knowledge of security design, data management, data governance, lineage and audit.
  • Can demonstrate an understanding across systems integration, information management, data management and architecture, and business analytics
  • Has deep experience with Cloudera Hadoop (or similar stack such as Hortonworks) distributions and application programming (MapReduce, Pig, Cascading, Hive, Impala, Storm, Spark etc.)
  • Exposure to working in Agile projects with involvement in MVP definition, sprint planning, back-log grooming ad resolving blockers on technical solutions
  • Experience leading large-scale, multi-release information centric projects and delivery experience leveraging multiple delivery locations (onshore + nearshore/offshore)
  • Familiar with designing high volume and fast big data solutions that have been successfully implemented into a production environment, both batch and stream processing using frameworks like Apache Nifi/Beam/Flink
  • Strong understanding of data warehouse, data lake and associated ETL and data processing concepts
  • Ability to articulate and hold solution discussion with key stakeholders Senior Enterprise Analytics Architects
  • University degree, preferably in Computer Science/IT/Engineering or in a related field
  • Demonstrate a passion for innovation and new idea generation

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