Clario, part of Thermo Fisher Scientific, is a global leader in clinical trial technology. We combine deep scientific expertise with the industry’s broadest endpoint collection platform to help pharmaceutical and biotechnology companies deliver life-changing therapies to patients. Our clinical data operations span a highly regulated, patient-centric landscape, from first-in-human trials to large-scale Phase IV programs. The volume, velocity, and variety of the data we generate are growing fast. To keep pace, we’re building a next-generation, enterprise-grade Data & Analytics platform that unifies clinical, operational, and commercial data under a single architectural vision.
As our Senior Data Architect, you’ll sit where architecture meets data engineering. You’ll set the target-state data architecture for the enterprise and define the technology and pattern choices our engineering teams build against. You’ll be the senior technical authority for everything between our raw clinical and operational source systems and the analytical, AI, and regulatory consumers of that data. This is a hands-on senior individual contributor role reporting to the Chief Enterprise Architect. You’ll earn architectural authority through technical credibility, so expect to spend real time in code, in data, and in design documents, not just in slide decks.
What You’ll Be Doing
Architecture and Patterns
Own the enterprise data architecture blueprint, principles, and reference patterns across ingestion, storage, transformation, and serving
Define reference architectures for batch, CDC, near-real-time streaming, semantic layer design, and federated query, choosing the right pattern for each use case
Set data modeling direction across operational, analytical, and clinical-standard data, and define how they map to one another
Evaluate and govern technology choices in line with the company-wide technology strategy
Data Lifecycle
Partner with product and engineering teams so data contracts and schemas are designed for downstream use from the start
Design the storage strategy across lakehouse, warehouse, operational, and archival tiers
Define how data reaches BI (Power BI, Plotly), embedded analytics in our clinical applications, ML/AI workloads, regulatory submissions, and sponsor data exchange
Security, Governance and DataOps
Co-own data security controls with InfoSec, including encryption, tokenization, access management, and audit
Set the architectural foundation for governance, MDM (Reltio), data quality, metadata, and cataloging
Establish CI/CD, observability, data testing, and incident management standards for pipelines, and define orchestration architecture across Airflow and related tools
Leadership and Enablement
Serve as the data authority on the Architecture Review Board, reviewing major architecture changes and new data products
Assess data vendors and SaaS platforms for architectural fit, data residency, GxP suitability, and total cost of ownership
Produce architecture decision records, reference implementations, and training so teams can make sound architectural choices on their own
Lead a data maturity program across people, process, and technology, reporting progress to R&D leadership on quality, time-to-data, cost, and risk
Partner closely with the Senior Director of Data & Analytics, whose teams are your primary delivery partners
What We Look For
5+ years in data-intensive roles, including 5+ years in senior data architecture or principal/staff-level data engineering
Hands-on ownership of the full data engineering lifecycle, from generation through serving, in production
A track record of measurably improving an organization’s data maturity
Experience working within or alongside an Enterprise Architecture function or Architecture Review Board
Fluency in SQL and Python (or another data engineering language), with the ability to review production pipeline code
Experience with batch and streaming ingestion, including CDC and event streaming…