Lead Data Technical Architect
About this role
Join Kainos and Shape the Future
At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
As a Data Technical Architect (Consultant) in Kainos, you’ll be responsible for designing and delivering technical components as part of a larger data solution. You will work closely with Solution Architects and Customer Architects to integrate these components into quality data solutions
Your responsibilities will include:
- Successfully implementing functional and non-functional designs
- Working closely with customer architects to agree functional and non-functional designs, including estimated effort, technical implications, and complexity.
- Setting technical standards and works with engineers to ensure standards are upheld
- Managing and estimating timelines underpinning technical component delivery
- Contributing or owning technical solution design as part of a pre-sales process
- Making a significant contribution to the data analysis community and wider data and analytics capability
- Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction and leadership for your team as you solve challenging problems together
Minimum (essential) requirements:
- Experience of technical ownership for a component, sub-system or product (data ingestion, data streaming), including architecture, estimation, product planning and story creation
- Proficient in client interaction including communication of technical decisions to non-technical audiences
- Experience of applying standards for design (patterns), development (style guides), and operational readiness (automation, deployment)
- Experience of designing, building and productionising modern, distributed data-intensive applications
- Experienced in Java, Scala or Python and comfortable with multiple programming paradigms (functional, OO)
- Experience of deploying contemporary data stores such as object stores, document stores, key-value store, search, RDBMS, graph.
- Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks
- Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation
Desirable:
- Comfortable with Data Warehouse methods and techniques
- Actively shares their thoughts and views on data practices
- AWS/Azure/GCP Certified in Data Services
- Expertise in continuous improvement and sharing input on data best practice
- Participation in development and/or technology communities.
Embracing our differences
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Originally posted on Himalayas
