Data Technical Architect (Consultant)

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.