Роль дает широкую ответственность за современные платформы данных в клинической сфере, с четким лидерским мандатом; при этом высокий уровень и широкий охват означают серьезную нагрузку и большую зону принятия решений.
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Широкая зона ответственностиСовременный стекКлинические исследования
Оценка от Hirify AI
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Associate Director, Data Engineering & Analytics (Databricks/Snowflake/AWS): Leading global teams that build, operate, and modernize enterprise data platforms supporting clinical trial data with an accent on production reliability, data governance, and regulated delivery. Focus on modernizing legacy platforms, establishing engineering standards, managing critical incidents, and translating product and customer needs into scalable data solutions.
Location: Remote in Canada
Company
hirify.global, part of Thermo Fisher Scientific, develops data platforms that support clinical trial data and clinical science.
What you will do
Lead enterprise data engineering, integration, data warehouse, analytics engineering, and API services.
Own end-to-end engineering delivery across development, testing, validation, deployment, and production support.
Set engineering standards for data modeling, CI/CD, automated testing, release management, observability, and documentation.
Modernize legacy platforms, reduce technical debt, and manage migration and retirement plans aligned with the NxT.Lumen strategy.
Ensure production reliability through monitoring, SLAs, incident management, root-cause analysis, and continuous improvement.
Lead global delivery capacity, budgets, vendors, technical roadmaps, risk management, and development of a high-performing team.
Requirements
10+ years of experience in enterprise data engineering, software engineering, integration, or data warehousing, including 5+ years leading engineering teams, distributed or global teams preferred.
Strong technical experience with Databricks, Snowflake, AWS, Talend, Airflow, Python, SQL, APIs, and ETL/ELT.
Experience managing end-to-end engineering delivery, enterprise production platforms, and legacy modernization.
Experience establishing CI/CD, automated testing, release management, and engineering standards.
Experience managing technical roadmaps, budgets, resources, and vendors.
Working knowledge of data privacy, security, and technology risk.
Experience with regulated SDLC, computer-system validation (CSV), SOPs, and audit readiness.
SAFe or scaled-agile experience, plus AI-enabled engineering and automation experience.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
Life sciences, clinical research, pharma, CRO, or healthcare experience.
Knowledge of clinical data transfer and integration standards.
Databricks Lakehouse/Unity Catalog and modern DataOps experience.
Legacy data warehouse and ETL modernization experience.
Customer-facing SaaS experience.
Culture & Benefits
Work with global teams across clinical science, technology, and customer-facing functions.
Support hirify.global’s purpose of unlocking better evidence and helping bring life-changing therapies to patients faster.
Follow hirify.global SOPs, SDLC, validation requirements, audit remediation, data governance, lineage, MDM, and security standards.