Senior Enterprise Architect

Clario; California; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Clario, part of Thermo Fisher Scientific, seeks a Senior Data Architect to define the enterprise data architecture and set technology and pattern choices for ingestion, storage, transformation, and serving. You will be the senior technical authority guiding data contracts, schemas, and governance across clinical, operational, and analytical data.

The role is hands-on, requiring deep expertise in SQL, Python, batch and streaming ingestion, and Cloud (AWS) with a focus on cost, security, and

Qualifications

• 5+ years in data-intensive roles with senior data architecture or principal/staff data engineering experience.
• Proficient in SQL and Python; able to review production pipelines.
• Hands-on ownership of data engineering lifecycle from generation to serving.
• Experience with batch and streaming ingestion including CDC and event streaming.
• Familiarity with MDM concepts and at least one MDM platform.

Responsibilities

• Own the enterprise data architecture blueprint, patterns, and reference architectures.
• Define storage strategies across lakehouse, warehouse, and archival tiers.
• Govern data security, governance, quality, metadata, and cataloging with CI/CD and observability standards.
• Lead Architecture Review Board discussions and governance for data products.
• Partner with product/engineering to design data contracts and schemas for downstream use.

Skills

SQL

Python

Airflow

Data modeling

Batch & streaming ingestion

CDC / event streaming

MDM concepts

AWS / cloud architecture

Data governance

Tools

Airflow

Job description

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 DoingArchitecture and PatternsOwn the enterprise data architecture blueprint, principles, and reference patterns across ingestion, storage, transformation, and servingDefine reference architectures for batch, CDC, near-real-time streaming, semantic layer design, and federated query, choosing the right pattern for each use caseSet data modeling direction across operational, analytical, and clinical-standard data, and define how they map to one anotherEvaluate and govern technology choices in line with the company-wide technology strategyData LifecyclePartner with product and engineering teams so data contracts and schemas are designed for downstream use from the startDesign the storage strategy across lakehouse, warehouse, operational, and archival tiersDefine how data reaches BI (Power BI, Plotly), embedded analytics in our clinical applications, ML/AI workloads, regulatory submissions, and sponsor data exchangeSecurity, Governance and DataOpsCo-own data security controls with InfoSec, including encryption, tokenization, access management, and auditSet the architectural foundation for governance, MDM (Reltio), data quality, metadata, and catalogingEstablish CI/CD, observability, data testing, and incident management standards for pipelines, and define orchestration architecture across Airflow and related toolsLeadership and EnablementServe as the data authority on the Architecture Review Board, reviewing major architecture changes and new data productsAssess data vendors and SaaS platforms for architectural fit, data residency, GxP suitability, and total cost of ownershipProduce architecture decision records, reference implementations, and training so teams can make sound architectural choices on their ownLead a data maturity program across people, process, and technology, reporting progress to R&D leadership on quality, time-to-data, cost, and riskPartner closely with the Senior Director of Data & Analytics, whose teams are your primary delivery partnersWhat We Look For5+ years in data-intensive roles, including 5+ years in senior data architecture or principal/staff-level data engineeringHands-on ownership of the full data engineering lifecycle, from generation through serving, in productionA track record of measurably improving an organization’s data maturityExperience working within or alongside an Enterprise Architecture function or Architecture Review BoardFluency in SQL and Python (or another data engineering language), with the ability to review production pipeline codeExperience with batch and streaming ingestion, including CDC and event streaming (Kafka or equivalent)Practical experience with orchestration (Airflow or equivalent), data modeling, and transformation frameworksWorking knowledge of relational and document databases (PostgreSQL, Oracle, SQL Server, MongoDB) and the trade-offs between operational and analytical storesFamiliarity with MDM concepts and at least one MDM platformExperience designing on AWS or a comparable cloud provider, with attention to cost, security, and operabilityNice to HaveExperience in clinical research, pharma, biotech, medtech, or another GCP-regulated environmentKnowledge of CDISC standards (ODM, SDTM, ADaM) and clinical data domains such as eCOA, Cardiac Safety, Respiratory, and ImagingExposure to AI/ML platform architecture (feature stores, vector stores, RAG pipelines, MLOps)The duties and responsibilities listed in this job description represent the major responsibilities of the position. Other duties and responsibilities may be assigned, as required. Clario reserves the right to amend or change this job description to meet the needs of Clario. This job description and any attachments do not constitute or represent a contract. The Department Head has the discretion to hire personnel with a combination of experience and education, which may vary from the above listed qualifications.