Senior Enterprise Architect

Job not on LinkedIn

🔥 1 minute ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

💻 IT Support

👻 Ghost score 10%

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Clario

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1973

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Private Equity Round on 2019-10

Healthcare • Consulting • Logistics

Clario is a company specializing in accelerating clinical trials from initiation to implementation through advanced technologies and services. Since 2018, Clario has revolutionized endpoint analyses in clinical trials by integrating over 30 artificial intelligence-enabled solutions across more than 600 active trials, enhancing data quality and patient privacy while expediting data collection processes. Clario provides a comprehensive clinical trial management platform, offering solutions such as eCOA, cardiac safety, medical imaging, precision motion, and respiratory services in various therapeutic areas including oncology, cardiology, and neurology. Known for its global reach, Clario supports clinical trials in over 100 countries with a strong focus on decentralized and hybrid trial models. The company's commitment to patient safety and innovation is reflected in their over 26,000 trials and involvement in numerous new drug approvals.

📋 Description

• 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 layers, and federated queries • Set data modeling direction across operational, analytical, and clinical-standard data • Evaluate and govern technology choices in line with company-wide technology strategy • Partner with product and engineering teams on data contracts and schemas • Design storage strategy across lakehouse, warehouse, operational, and archival tiers • Define data delivery for BI, embedded analytics, ML/AI workloads, regulatory submissions, and sponsor data exchange • Co-own data security controls with InfoSec, including encryption, tokenization, access management, and audit • Set the foundation for governance, MDM, data quality, metadata, and cataloging • Establish CI/CD, observability, data testing, incident management, and orchestration standards • Serve as the data authority on the Architecture Review Board • 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 • Lead a data maturity program and report progress to R&D leadership • Partner closely with the Senior Director of Data & Analytics • Report to the Chief Enterprise Architect

🎯 Requirements

• 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 • 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 ability to review production pipeline code • Experience with batch and streaming ingestion, including CDC and event streaming (Kafka or equivalent) • Practical experience with orchestration (Airflow or equivalent), data modeling, and transformation frameworks • Working knowledge of relational and document databases, including PostgreSQL, Oracle, SQL Server, and MongoDB • Familiarity with MDM concepts and at least one MDM platform • Experience designing on AWS or a comparable cloud provider, with attention to cost, security, and operability • Nice to have: experience in clinical research, pharma, biotech, medtech, or another GCP-regulated environment • Nice to have: knowledge of CDISC standards (ODM, SDTM, ADaM) and clinical data domains • Nice to have: exposure to AI/ML platform architecture, including feature stores, vector stores, RAG pipelines, and MLOps