Data Architect

As a Data Architect at BJSS in Dublin, you'll be responsible for a wide array of tasks that revolve around helping clients derive maximum value from their data. This includes implementing modern data warehousing solutions, driving analytics and machine learning projects, and promoting a DataOps culture. You'll also lead delivery teams, mentor colleagues, and interface directly with clients ensuring our technical expertise meets their needs.

To excel as a Data Architect at BJSS, you should have extensive experience in the data ecosystem, with familiarity in data platforms like Databricks, AWS, and Azure. A strong understanding of data modeling approaches, as well as experience in Agile methodologies and C-Level stakeholder engagement, is essential. Additionally, a thorough knowledge of security and privacy applications in data implementations is crucial for this role.

BJSS in Dublin offers a vibrant and collaborative work environment that thrives on creativity and innovation. We believe in a hybrid working model, allowing flexibility between remote work and office presence. You'll be part of a supportive community that values professional growth, with plenty of opportunities for mentorship, social activities, and access to training resources to help you advance in your career.

At BJSS, we take your professional development seriously. As a Data Architect, you’ll have access to comprehensive training opportunities, including support for professional certifications in various engineering fields. Our commitment to continuous learning means you'll always have the resources you need to expand your skill set and stay updated with the latest industry trends.

Data Architects at BJSS work on various innovative projects that may include modernizing data warehouses, developing scalable analytics solutions, and implementing machine learning models. You’ll engage with a diverse range of clients, ensuring their data strategies align with business goals and leveraging Agile methodologies to continuously deliver value.

When answering this question, highlight specific data platforms you have worked with, such as Databricks, AWS, or Azure. Discuss your familiarity with their functionalities, advantages, and how you utilized them in past projects to drive business value.

Discuss your knowledge of data security regulations and best practices. Mention specific measures you take to ensure compliance and how you incorporate security features into your data architecture designs, outlining any past experiences where you successfully implemented these strategies.

Prepare an example that showcases your leadership skills. Explain the project's challenges, your role, the actions you took to navigate those difficulties, and how your leadership contributed to the project's success, emphasizing teamwork and collaboration.

Share your strategies for successful stakeholder engagement. Highlight key communication skills, the importance of understanding their business challenges, and how you tailor your presentation of technical solutions to align with their strategic goals.

Outline your understanding of Agile methodologies and provide examples of how you have applied them in data projects. Discuss your participation in sprints, daily stand-ups, and how you adapt to changing requirements while maintaining project timelines.

Explain your approach to requirements gathering, including stakeholder interviews, data analysis, and problem identification. Emphasize your analytical skills and how you transform those needs into actionable project goals.

Prepare a case study of a successful project. Describe the problem the client faced, your proposed architecture solution, the technologies used, and the impact it had on their data strategy and overall business objectives.

Discuss current industry trends and challenges, such as data privacy regulations, rapid technological advancements, and the need for effective cloud migration strategies. Show that you are informed about the landscape and position yourself as a problem-solver.

Share your methods for staying updated, such as following industry publications, attending conferences, participating in training, and engaging with professional networks. Your commitment to lifelong learning is vital in the fast-paced tech environment.

Discuss any past experiences where you have provided guidance to team members, the mentoring approach you took, and the success of those relationships in fostering skills and knowledge growth.