Data/Solution Architect - Manchester, United Kingdom - hackajob

Description

Job Description hackajob is a matching platform partnering with 6point6 helping them to hire the best talent and build the future.

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.

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 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.

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.

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.

Communicate effectively verbally and in writing, demonstrated through:
Writing meaningfully to deliver clear information, and guidance
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.
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.