Job title: Big Data Architect
Job type: Permanent
Emp type: Full-time
Salary: GBP £110,000.00
Job published: 17/12/2021
Job ID: 33781

Job Description

London | Permanent | Full-time | 110k | Sponsorship applications welcome

One of Europe's fastest growing mobile companies is looking for a Big Data Architect/Solutions Manager to provide technical leadership in architecting and designing end to end solutions in their venture to offer more services for consumers across multiple digital channels.

You will be responsible ensuring the implementation of big data solutions are in-line with industry best practices and standards. You will drive improvements in the current design, processes & implementation to improve operational management, scalability, and extensibility.

The ideal candidate will be a hands-on technical big data architect with extensive experience in designing big data solutions using open source and cloud native technologies. You will be able to demonstrate experience owning and developing big data solutions, preferably with telecom or wireless service providers. You will have a DataOps mindset, allowing the architecture of a system to evolve continuously over time, while simultaneously supporting the needs of current users.

Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems

We welcome application from candidates who need sponsorship.

Key Responsibilities

  • Articulate business and data requirements from business analysts across the various functional and business areas.
  • Design/manage enterprise big data architecture, data governance, and automated data reconciliation.
  • Technical line management of remote big data engineering team (10-15). Responsible for engineering excellence, resource management, hiring, coaching engineers, and timely delivery of committed work.
  • Create and maintain big data architectural & design artefacts to ensure the up to date documentation for the relevant program and projects is readily available.
  • Contribute to the evolution and planning of the enterprise architecture from data perspective by ensuring solutions are developed in line with roadmap.
  • Collaborate with a wide range of stakeholders to identify and define customer needs
  •  Involve in partner selection and partner resource selection to ensure that the right partner/resource are selected who would be assisting the company in development & engineering.
  • Be the voice of the customer in the context and value of the business requirements.
  • Manage the Technical Product Backlog of epics and features and drive prioritisation.
  • Support data lake design, development, release schedule and maintain a development road map.
  • Create and maintain Architectural Runway, and Non-Functional Requirements.
  • Design for Continuous Delivery Pipeline (CI/CD data pipeline) and enables Built-in Quality & Security from the start.
  • Ability to clearly articulate pros and cons of various technologies and platforms and architectural options to be able to document use cases, solutions, and recommendations.
  • Advocate and champion the DataOps within the business, will be responsible that the existing datalake solution running smoothly on data to day basis.
  • Maintain your own personal skills and knowledge in the field of enterprise architecture and your functional domain specialisation.
  • Actively contribute to the definition of the overall standards for design, development/configuration (including tools) and related documentation.

Skills and Experience

  • Demonstrable experience owning and developing big data solutions, using Hadoop, Hive/Hbase, Spark, Databricks, ETL/ELT for 5+ years.
  • 10+ years of Information Technology experience, preferably with Telecom / wireless service providers.
  • Experience in designing data solution following Agile practices (SAFe methodology); designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized innovation.
  • DataOps mindset: allowing the architecture of a system to evolve continuously over time, while simultaneously supporting the needs of current users.
  • Be able to demonstrate an understanding and ideally use of, at least one recognised architecture framework or standard e.g. TOGAF, Zachman Architecture Framework etc.
  • Ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers.
  • Demonstrated ability to work collaboratively.
  • Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, etc.)
  • Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision.
  • Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems.

Behavioural Fit

  • Effectively work in a matrix organization. Lead through influence
  • Get things done attitude
  • Must be self-motivated and results oriented
  • Ability to work in a cross-functional, multi-cultural team and in a collaborative environment.
  • Ability to multi-task and plan, organize and prioritize multiple projects.
  • Must have a hands-on mentality