Associate Director, RDU IT Data Engineering
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
As an Associate Directorat Alexion you will be a hands-on technical leader shaping the design and delivery of our next-generation patient-centric data and AI platforms. You will build highly scalable reliable and secure data products and pipelinesand you will do so with AI embedded throughout the lifecycle to increase speed quality and resilience.
You will champion responsible AI adoption in daily workflowsusing AI copilots to accelerate development automated testing to improve quality AI-driven observability to detect issues early and AI-assisted governance to ensure compliance (GDPR HIPAA and FAIR/TRUSTeddata product principles). Youll raise the bar on engineering excellence while mentoring others in safe and effective AI use.
You willbe responsible for:
Solution delivery
Design and build cloud-native ELT/ETL data pipelines and domain-oriented data products on AWS and Snowflake that are scalable cost-efficient and resilient.
Define and implement patterns for batch micro-batch and event-driven integrations; optimize for performance reliability and security.
AI-accelerated development
Use AI copilots to scaffold SQL/Python/dbtcode generate unit/integration tests suggest query optimizations and infer schemas/mappings.
Employ AI to auto-generate technical docs lineage summaries and code comments; integrate prompt standards and review checkpoints into PR workflows.
Data quality observability and reliability
Implement data quality frameworks andSLAs/SLOs with AI-enabled anomaly and drift detection and root-cause suggestions; create self-healing runbooks where feasible.
Instrument pipelines with metrics logs and traces; leverage AI to correlate incidents across orchestration warehouse and source systems.
Governance privacy and compliance
Operationalize data governance and privacy controls (RBAC/PBAC encryption retention) with AI-assisted PII detection policy checks and automated audit artifacts.
Ensure alignment with FAIR andTRUSTeddata product principles; contribute to catalog metadata semantic tags and discoverability with AI-supported enrichment.
Performance cost and platform optimization
Tune Snowflake warehouses queries anddbtmodels; apply AI-driven recommendations to balance cost performance and concurrency.
Contribute reusable components and templates to golden paths that embed best practices and AI guardrails.
Collaboration and enablement
Partner with data science and analytics teams on data contracts feature-ready datasets and reproducible pipelines; support containerized/serverless runtimes where needed.
Mentor engineers on modern data engineering and responsible AI usage including prompt engineering validation patterns and bias/quality checks.
You will need to have:
Masters degree in Computer Science Information Systems Engineering or a related field.
10 years of experience in data engineering data management and analytics with a track record of delivering large-scale secure and resilient solutionsideally in life sciences.
Strong hands-on expertise:
SQL and Python; building robust ETL/ELT and orchestration (Apache Airflow AWS Glue).
Snowflake: resource monitors RBAC warehouse sizing performance tuning zero-copy clone data sharing time travel Streams/TasksSnowPipe; tooling such asSnowSQLStreamlit and Cortex.
dbtandFivetran; designing modular testable transformations with version control and CI/CD.
AI in data engineering:
Practical experience using AI copilots for code/test generation with human review; AI-assisted schema mapping documentation and lineage.
AI-enabled data quality/observability (anomaly/drift detection incident triage) and self-healing playbooks.
Automated PII detection/tagging and policy checks to support GDPR/HIPAA compliance.
Data governance and reliability:
Familiarity with FAIR andTRUSTeddata product principles; experience with data catalogs and metadata standards.
Knowledge of data quality and observability methods and tools; ability to integrate telemetry across pipelines and platforms.
Cloud and platform skills:
AWS architecture patterns (certification preferred) Infrastructure as Code GitHub-based CI/CD secrets management.
Experience with containerization and serverless patterns; ability to support DS/ML adjacent workloads.
Experience implementingIaCwith Terraform (or CloudFormation)
Communication and leadership:
Ability to explain complex technical concepts to varied audiences and to mentor engineers on best practices and responsible AI.
We would prefer for you to have:
5 years in biotech/pharma with exposure to R&D and/or commercial analytics usecases;understanding of compliance contexts (e.g.GxPexposure helpful).
Experience across multiple clouds or stacks (Azure GCP Databricks).
Familiarity with Kubernetes/Docker for data workloads and knowledge graph concepts.
Date Posted
02-mar-2026Closing Date
05-mar-2026Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment training compensation promotion and other terms and conditions of employment based on race color religion creed or lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (including childbirth breastfeeding or related medical conditions) parental status (including adoption or surrogacy) military status protected veteran status disability medical condition gender identity or expression genetic information mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.
Required Experience:
Director
Key Skills
- Go
- Lean
- Management Experience
- React
- Node.js
- Operations Management
- Project Management
- Research & Development
- Software Development
- Team Management
- GraphQL
- Leadership Experience
About Company
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, ... View more
