Data Technical Architect (Consultant)

Archer; United States; Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Archer, in collaboration with Kainos, seeks a Data Technical Architect (Consultant) to design and deliver technical components within a comprehensive data solution. You will collaborate with Solution and Customer Architects to ensure seamless integration and alignment with business goals.

You will own the technical design, estimate effort, and help shape the data architecture across the project. Strong stakeholder communication and leadership are essential.

Formación

• Ownership of a component, sub-system or product (data ingestion/streaming).
• Proficient in communicating technical decisions to non-technical audiences.
• Apply design standards, patterns, and deployment readiness.
• Design, build and productionise modern distributed data-intensive apps.
• Experience with Java, Scala or Python and multiple paradigms.

Responsabilidades

• Design and deliver technical components as part of a data solution.
• Collaborate with Solution and Customer Architects to integrate components.
• Set technical standards and ensure they are upheld.
• Estimate timelines for technical delivery.
• Contribute to pre-sales technical design.
• Lead and mentor a small team, guiding performance and development.
• Advance data analysis communities and data analytics capability.

Conocimientos

Tech ownership

Java/Scala/Python

Distributed data

Data stores

Cloud platforms

Communication skills

Data pipelines

Herramientas

AWS

Azure

GCP

Databricks

Descripción del empleo

Archer is collaborating with Kainos to connect them with exceptional professionals for this role.

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.