Senior-Lead Full-Stack or Data Engineer

As a Senior-Lead Full-Stack or Data Engineer at Architus, your responsibilities will include guiding and mentoring a team, designing and developing high-quality software solutions, and ensuring seamless integration between front-end and back-end systems. You'll also build and maintain scalable data solutions, optimize real-time data transformation, and advocate for engineering best practices such as Infrastructure as Code and automated testing.

Applicants for the Senior-Lead Full-Stack or Data Engineer position at Architus should have strong skills in designing and managing large-scale data products and pipelines, along with hands-on experience in cloud-based solutions, specifically on GCP. Familiarity with programming languages like Python and engineering best practices such as CI/CD and containerization is essential. You should also be comfortable in agile development settings.

In the role of Senior-Lead Full-Stack or Data Engineer at Architus, you'll work with a variety of technologies. This includes streaming and batch ETL solutions, cloud infrastructure on GCP, and data processing tools such as Pub-Sub, VertexAI, BigQuery, and Postgres. Knowledge of Infrastructure as Code tools, particularly Terraform, and experience with deployment strategies will be highly valuable.

The work environment for a Senior-Lead Full-Stack or Data Engineer at Architus is dynamic and collaborative, with a modern, pet-friendly office located in Business Stadium, Vilnius. Employees enjoy hybrid working options to maintain work-life balance, and the team is encouraged to partake in team-building activities, with access to high-spec hardware and a learning platform to enhance their skills.

At Architus, career growth opportunities for the Senior-Lead Full-Stack or Data Engineer are plentiful. The role offers the chance to work with cutting-edge technology in a global environment, allowing you to fast-track your career. Additionally, the company promotes continuous learning and development, with access to resources that allow you to expand your skill set and advance within the organization.

When answering this question, highlight specific projects or roles where you utilized cloud infrastructure, particularly GCP. Discuss how you implemented solutions using cloud-based tools and technologies, and mention any Infrastructure as Code practices you applied, like Terraform.

To answer this question, emphasize the importance of following best practices in software engineering, such as conducting thorough testing, implementing CI/CD pipelines, and employing monitoring and alerting tools. Mention any specific strategies you've used to ensure that data solutions are both scalable and efficient.

In responding, share your philosophy on mentorship, focusing on fostering a culture of learning and collaboration. Provide examples of how you have guided junior engineers, emphasizing your hands-on approach, open communication, and encouraging them to take ownership of projects.

When approaching this question, outline the types of ETL processes you're familiar with, particularly in the context of streaming and batch operations. Discuss specific tools you've used, such as Pub-Sub or BigQuery, and explain how you approach the design and optimization of these processes.

Be sure to highlight your proficiency in any relevant programming languages, particularly Python, as preferred for this role. Discuss how you've used these languages in your previous positions to solve complex engineering problems and craft effective data solutions.

When discussing agile methodologies, explain how you've incorporated Agile practices into project management in your previous positions. Share examples of successful projects where Agile led to improved collaboration, flexibility, and quicker iterations, ultimately resulting in better outcomes.

This question calls for you to showcase your problem-solving skills. Choose an instance where you broke down a complex challenge into manageable parts, detailing your thought process and the steps taken to find a solution. Emphasize the outcome and what you learned from the experience.

In your response, talk about specific best practices related to coding standards, documentation, and CI/CD processes. Explain how you would encourage team engagement in adopting these practices through training sessions and code reviews, showcasing your leadership in promoting a culture of excellence within the team.

When answering, talk about your commitment to data security, mentioning best practices you've implemented, such as data encryption, access controls, and regular audits. Emphasize how you ensure that security measures are integrated seamlessly into the data engineering lifecycle.

Express your familiarity with MLOps concepts and practices. Detail any specific experiences you have with model training, evaluation, and deployment, highlighting technologies and frameworks you utilized while also discussing how you collaborated with data scientists and other stakeholders to improve operational efficiencies.