Remote Data Architect

Description:

• We are looking for a Data Architect to join our growing Internal Data team.
• This position reports to the Director of Engineering.
• You will work with clients to create an ingestion pipeline from their system to ours.
• Collaborate with BenchSci engineers, science, and sales teams, as well as engage with client stakeholders, including architects, scientists, and IT staff to design and deliver client data ingestion pipelines.
• Work towards a balanced solution of standardized and scalable ingestion formats while meeting customized and unique client needs.
• Scale data pipelines to ingest millions of documents from multiple clients throughout the year.
• Work with sources that contain both semi-structured and unstructured data.
• Use your experience to help define and apply best practices for a broad platform of technologies in a cloud-based environment.
• Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements.
• Integrate security standards and processes into solutions to meet and sustain compliance with both BenchSci and client mandates.
• Respond with urgency to operational issues, owning resolution within your sphere of responsibility.
• Anticipate client needs and champion opportunities for the development and implementation of new services and methods to meet or exceed client needs.

Requirements:

• A degree in Computer Science/Engineering or a related field is required.
• You must have 5+ years of experience working as a software developer with expertise in data ingestion frameworks, and proficiency with SQL and Python.
• A minimum of 3+ years of experience in client-facing or similar Solution Architect roles, particularly in designing client-facing integration and interfacing solutions is necessary.
• Proficiency with data and ML pipelines, ETL, data integration, and data indexing designs and solutions is required.
• Experience with multiple cloud solutions (AWS, GCP, Azure) and on-prem deployments, enterprise data/AI architecture, data/AI governance, security, and compliance is essential.
• You should have experience in applying analytical, statistical, or data science principles in analyzing volumes of data.
• A background in Life Science (cell biology, molecular biology, genetics, immunology, microbiology) is preferred.

Benefits:

• An engaging remote-first culture is offered.
• A great compensation package that includes BenchSci equity options is provided.
• A robust vacation policy plus an additional vacation day every year is included.
• Company closures for 14 more days throughout the year are part of the benefits.
• Flex time for sick days, personal days, and religious holidays is available.
• Comprehensive health and dental benefits are provided.
• An annual learning & development budget is included.
• A one-time home office set-up budget to use upon joining BenchSci is offered.
• An annual lifestyle spending account allowance is provided.
• Generous parental leave benefits with a top-up plan or paid time off options are available.
• The ability to save for your retirement coupled with a company match is included.