x 2 Lead Architect

Job Description

A leading consultancy are looking for x2 Lead Big Data Architects for their Central London site.


Define the architectures for a high profile, public facing, government and private sector projects, including: Define the architectural roadmaps for projects for any given client Investigate and thoroughly understand the current live applications and systems at any given client site Ensure that the scope, context and constraints are documented and accepted

Identify, engage and enfranchise stakeholders Facilitate the making of system-level decisions, ensuring that they are made on the basis of the best information and are aligned with stakeholder needs Capture and interpret input from technical and domain specialists (and represent this accurately to stakeholders as needed) Define and document strategies, standards and guidelines to direct the build and deployment of systems Ensure that the architecture meets the system quality attributes Help ensure that agreed upon architectural principles and standards are applied to the finished system or product
Provide architectural and technical leadership Participate in business development activities, proposals
bids and pre-sales Participate in thought leadership on the subjects of Architecture and Big Data by creating thought leadership materials as directed Assist in the promotion and delivery of Big Data engagements Build client relationships and establish credibility by demonstrating knowledge of various aspects of architecture, and identify opportunities


Perform engagement management responsibilities, including performance reviews, task delegation, project scheduling, project financials, quality review and client management Line manage, mentor, train and develop more junior staff, including graduates.
Job Criteria Essential
Good overall knowledge of data technology and trends, especially of Big Data products Good knowledge of both open source and vendor data platforms Good understanding of data architecture, architectural concepts, methodologies and approaches. Good understanding of data modelling. Good data and system analysis skills. Excellent knowledge of Big Data technologies, for example Cassandra, HBase, Kafka and/or Samza Good knowledge of Search and Graph technologies, for example

ElasticSearch and Datastax Knowledge of both SQL and NoSQL databases. Experience of designing for both structured and unstructured data. Strong background in Java and REST Services – ability to design solutions as well as review code. Good knowledge of non-functional drivers for design. Drive and desire to further your skillset and lead in the data domain.

Knowledge of master data management platforms

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