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Data Solution Architect
4 months ago
hackajob is a matching platform partnering with 6point6 helping them to hire the best talent and build the future. To get the chance to get matched to this role and other similar roles, click on Apply to set up your free profile.
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below.
Their Data Team is made up of 50+ people, covering data engineering, data science, and data architecture specialisms. The team works with a range of public and private sector clients, building production grade cloud solutions focussed on streaming, graph, big data, and data science use cases.
Job Description
Due to the nature of the client engagements, every employee needs to be able to achieve Security Clearance.
This means that you need to have the right to take up employment within the UK, do not have or require any visa to work, and have been resident in the UK for at least 5 years without any gap(s) totalling more than 6 months.
You should be able to easily commute to their London office. For some roles/projects, travel to the clients offices will be required and the frequency is often determined by the client.
Diversity, equity and inclusion are integral to the success of 6point6. They welcome applicants with different perspectives, skills, life experiences and backgrounds, and are proud to have an organisational culture where employees can bring their authentic selves to work.
Team
They are constructing the top data engineering practice in the UK, and their team build bespoke, mission critical data solutions for the UK Government as well as bluechip corporate clients across the EU.
They are looking for the top expert data engineers in the country, and aim to be the best data engineers in the world.
Profile
The Data Solutions Architect specialises in designing and implementing large-scale data processing solutions using distributed computing frameworks, AWS native components, and AWS cloud platforms. The are comfortable designing and constructing bespoke solutions and components from scratch to solve the hardest problems.
Adept in Java, Scala, and big data technologies like Apache Kafka and Apache Spark, they bring a deep understanding of engineering best practices.
This role involves scoping and sizing, and indeed estimating and costing, complex data engineering tasks for multi-member teams, leading the construction of robust, scalable data pipelines, and focusing on high-quality, production-grade code that runs lights out in production.
They are the bridge between enterprise architecture and hands-on coding, capable of accurately estimating and delivering data projects that handle petabytes of information - and guiding the organisation through complex process of reviewing the requirements, and shaping the programmes to deliver in mission critical environments.
As a technology consultancy, they look for people who can deliver both exceptional technical solutions and work as true partners to the organisations they support. To do this you must be able to:
Communicate effectively verbally and in writing, demonstrated through:
Effectively explain complex technical solutions to a non-technical audience Writing meaningfully to deliver clear information, and guidance Giving impactful presentations, articulating clearly key points Demonstrate critical thinking by: Analysing and evaluating information Using information gathered to present solutions and reach decisions Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems Work in partnership with others to: Effectively manage both internal and external stakeholders to ensure synergy Collaborate meaningfully with all parties to ensure outcomes are reached effectively Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered. Key responsibilities of the role are summarised below Design and implement large-scale data processing systems using distributed computing frameworks such as Apache Kafka and Apache Spark. Architect cloud-based solutions capable of handling petabytes of data. Lead the automation of CI/CD pipelines for data engineering tasks. Size and scope projects, accurately estimating required resources and timelines for completion. Guide engineering teams through the development process, ensuring the highest quality and performance standards. Collaborate closely with Data Design Architects to ensure alignment with broader data strategy and governance. Performance management of up to 25 data engineers/scientists. Provide technical mentorship to junior engineers. Provide thought leadership through public speaking and online communications. Supporting sales, bids, and presales activities. Excellent consultancy skills, and stakeholder management experience. QualificationsRequired skills:
Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Proven experience in big data technologies and cloud platforms, with demonstrable experience on large scale projects. Deep expertise in Java, and Scala, and software engineering. Strong background in distributed computing frameworks, and scaled processing. Excellent communication and teamwork skills. Ability to communicate and inspire large teams.