Senior Architect (Data)

Location: Waltham, Massachusetts, United States

Salary: $156,000–$234,000 per year, plus an annual discretionary performance bonus.

Company

hirify.global combines life sciences expertise, human intelligence, and technology to support pharmaceutical, biotech, and medtech commercialization.

What you will do

• Own data product architecture from business scoping and design through delivery and production support.
• Work with domain experts, data scientists, and AI engineers to translate business requirements into scalable data products.
• Define tooling, schemas, attribute inclusion, data grain, key design, entity resolution, provenance, and schema evolution strategies.
• Design and build normalization pipelines for heterogeneous, semi-structured, and unstructured text sources such as XML and PDFs.
• Build multi-stage pipelines combining deterministic parsing, LLM-assisted extraction and inference, and human review.
• Optionally design AI-assisted internal interfaces for reviewing, approving, and modifying pipeline outputs.

Requirements

• 8+ years of hands-on data engineering and data architecture experience, including end-to-end ownership of complex data systems.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field; equivalent practical experience is considered.
• Strong data modeling judgment covering grain, keys, entity resolution, data provenance, and schema evolution.
• Strong SQL and relational database and data warehouse expertise, including query and performance optimization.
• Strong Python experience building production data pipelines with orchestration, versioning, testing, and observability at scale.
• Experience converting messy semi-structured and unstructured sources into stable, documented schemas, plus clear communication with non-technical stakeholders.

Nice to have

• Familiarity with PySpark and distributed data processing frameworks.
• Experience with Git, Jenkins, CodePipeline, Unix/Linux, shell scripting, and cloud platforms such as AWS, Azure, or GCP.
• Experience with data validation, data quality checks, Agile methodologies, and JIRA.
• Experience using AI coding assistants to improve productivity while maintaining quality.

Culture & Benefits

• Full-time employment with an annual discretionary performance bonus.
• Work within a life sciences organization serving pharmaceutical, biotech, and medtech clients.
• Inclusion and engagement are integrated into collaboration, decision-making, and team development.
• Equal-opportunity workplace with a commitment to a respectful environment free from discrimination and harassment.