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.

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.