Data Architect

As a Data Architect at BenchSci, your primary responsibility is to design and implement data ingestion pipelines from client systems. You'll collaborate with various teams, including engineers, scientists, and client stakeholders, to create effective data integration solutions that elevate client value and streamline processes. With your expertise in cloud technologies and data frameworks, you'll also ensure compliance and security in all data handling.

To be considered for the Data Architect position at BenchSci, you'll need a degree in Computer Science or Engineering, along with 5+ years of experience as a software developer focused on data ingestion frameworks. Experience in client-facing roles and proficiency in SQL and Python are essential, along with knowledge of cloud solutions including AWS, GCP, or Azure.

In the Data Architect role at BenchSci, you will work on exciting projects involving the development of data ingestion pipelines that collect and process millions of documents from various clients. You will address different data formats, improve existing processes, and integrate new methods to meet diverse client needs, driving real impact in scientific research.

The culture at BenchSci is deeply rooted in collaboration, transparency, and continuous learning. As a Data Architect, you'll work within a supportive environment that values diversity and autonomy, encouraging personal growth and giving you the resources you need to thrive. You'll be part of a team that is committed to impactful work in life-saving research.

Yes, BenchSci embraces a remote-first culture, allowing you to work from anywhere. This flexibility is designed to provide you with a healthy work-life balance while still being part of an engaged and innovative team committed to excellence in research and technology.

At BenchSci, there are numerous opportunities for career advancement and professional development. You'll have access to learning budgets, mentorship, and the chance to take on new challenges as the company grows. Your contributions as a Data Architect will be recognized, paving the way for future leadership positions within the organization.

In your role as a Data Architect at BenchSci, you'll work with a wide range of technologies, focusing on data ingestion frameworks, cloud solutions like AWS, GCP, and Azure, as well as tools for ETL and data integration. Your deep understanding of both structured and unstructured data will be key to developing effective solutions for our clients.

When discussing your experience with data ingestion frameworks, focus on specific projects where you've successfully implemented these frameworks. Highlight the technologies used, the challenges faced, and the outcomes achieved. This demonstrates not just your technical expertise, but also your problem-solving abilities in real-world scenarios.

To approach designing a data ingestion pipeline, start by understanding the requirements of the client and the types of data involved. Discuss your process of designing scalable and efficient systems that accommodate both semi-structured and unstructured data, implementing best practices in security and compliance as you outline your design.

Discuss your experience with cloud platforms like AWS, GCP, or Azure, specifically how you've utilized them in data projects. Provide examples of projects where you implemented cloud solutions, detailing the benefits these platforms offered in terms of scalability, data processing, and collaboration.

When faced with a difficult client requirement, focus on your communication and problem-solving skills. Describe the scenario, the specific challenges posed by the client's needs, how you collaborated with your internal team, and the ultimate solution you achieved, emphasizing your ability to adapt and ensure client satisfaction.

Discuss your knowledge of best practices related to data security and compliance, such as data encryption, access controls, and auditing processes. Provide examples of how you've implemented these practices in past projects, emphasizing your commitment to maintaining compliance with industry standards and client regulations.

Highlight your proactive approach to staying updated on trends and technologies. Discuss your engagement with tech communities, attendance at workshops and conferences, subscriptions to relevant publications, and how you've integrated new learnings into your work as a Data Architect.

Emphasize your analytical skills and systematic approach to troubleshooting. Discuss specific strategies like using logging for investigation, conducting root cause analysis, and collaborating with team members to resolve issues efficiently while minimizing downtime.

In sharing this experience, detail the initial challenges that a particular data pipeline faced and the specific improvements you implemented. Focus on metrics that demonstrated increased efficiency, whether through automation, optimization of processing times, or reduced operational costs.

Emphasize the importance of open communication and understanding each team's objectives when collaborating with different teams. Provide an example of a successful project where you facilitated this collaboration, demonstrating how you balanced technical needs with client-facing requirements.

Share your vision for your career as a Data Architect, including how you plan to advance your skills, contribute to your organization's goals, and potentially mentor others. Your answer should reflect a commitment to personal growth while aligning with BenchSci's mission and values.