CVRM Medical Science Liaison Lead

Evinova is   seeking   a passionate and experienced   Data Foundation Engineering Lead   to   guide   in   the transformation of our   platform-wide data foundation   to   enable   our products, data science, and   agent s to deliver category leading capabilities . Join us in   leveraging   cutting-edge   technology, data, and AI to revolutionize life sciences and improve billions of lives globally.

In this pivotal role, you will design, implement, and   optimize   robust cloud-based data   lakehouse   infrastructure and operational frameworks that enable rapid innovation and deliver exceptional system reliability .     You will be   one of the senior - most   engineer s   within the team ;   expected to be hands on, guide ,   and  m entor   the   team .   You will need to shar e your   expertise   in cloud   data   infrastructure, automation,   and best practices   with the whole of   Evinova .

Key Responsibilities

Infrastructure Design & Management:

- AWS Data Services:   Deep hands-on experience with Lake Formation, Glue (ETL + Catalog ue   + Schema Registry), Athena, and at least one of   EMR   / Redshift Serverless. You understand how these compose, not just how each works in isolation .

- Open Table Formats:   Production experience with   S3 Tables, Apache Iceberg (preferred) ,   or Delta Lake. You understand partition evolution, schema evolution, time travel, and compaction — and when each   matter .

- Streaming:   Built production streaming pipelines with Kinesis Data Streams or MSK. Comfortable with   exactly once   semantics, windowing, late-arriving data, and backpressure .

- Infrastructure as Code:   AWS CDK ( TypeScript ) or CloudFormation. You define infrastructure in code, not in the console. CI/CD for data pipelines is   expected ,   we currently use GitHub Actions, and some Terraform .

- Data Modelling:   Can design dimensional models, event schemas, and slowly changing dimensions. Understand the trade-offs between   normali z ed   and denormali z ed storage for different access patterns .

- Governance and Security:   Practical experience implementing column-level security, row-level filtering, or tag-based access control. Understands how data classification drives policy .

- Python or Spark:   For ETL logic, feature extraction, and data quality validation.   PySpark   or Spark Scala for distributed transforms .

- AI & Machine Learning:   Exposure to AI tools and frameworks is a plus.

- Mentorship & Leadership:   Mentor and guide junior and mid-level engineers, fostering a culture of learning and collaboration. Provide technical leadership in the adoption of   the tooling, patterns, and   automation   best practices .

- Collaboration:   Partner with cross-functional teams, including product management and security, to align   data foundation   strategies with business goals and ensure cohesive development and operational workflows.

Required Experience & Qualifications:

- Experience:   10 + years in   Data Engineering   roles, with   significant experience   in SaaS and multi-tenant   data   platforms. Proven   track record   of mentoring team members   in   data platform   related projects .

- Cloud Expertise:   Strong   understanding   of AWS services, including VPC, IAM, EC2, S3, RDS, Lambda, EKS, AWS WAF, and AWS CloudTrail.

- Data Products:   Expert knowledge of   S3, RDS,   DynamoDB, Kinesis,   Glue,   DataZone , Athena, RedShift Serverless,   and AWS   EventBridge .

- Containerization & Orchestration:   Deep   proficiency   in Docker, Kubernetes, Helm, and associated ecosystem tools.

- CI/CD Proficiency:   Expertise   in CI/CD tools such as   ArgoCD   and GitHub Actions.

- Infrastructure as Code ( IaC ):   Advanced experience with AWS CDK (TypeScript preferred) and CloudFormation.

- Security:   Good   knowledge of IAM, AWS KMS, encryption standards, AWS WAF, and security compliance frameworks including NIST.

- Monitoring & Alerting:   Good   experience   with   OpenTelemetry , Prometheus, Grafana, AWS CloudWatch, and AWS CloudTrail for monitoring and incident response.

- Data & ETL Pipelines:   Extensive knowledge   with AWS Glue , AWS Kinesis,   and Managed Kafka for real-time and batch data processing.

- Programming & Automation:   Strong scripting and automation skills using TypeScript and Bash.

- Multi-Account AWS Management:   Experience managing multiple AWS accounts with AWS Control Tower.

- Communication & Collaboration:   Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders.

Desired Experience & Qualifications

- Advanced   expertise   in AWS CDK, including building complex, reusable   constructs   and pipelines.

- Experience with monitoring and logging tools such as Prometheus, Grafana, and AWS CloudWatch.

- Exposure to   multi-tenant SaaS platforms and best practices.

- Experience working with AI tools and frameworks.

Personal Attributes

- Big Picture:   Able to understand the strategic direction   and help   architect   smaller initiatives   with the direction in mind .

- Mentor & Leader:   Enjoys mentoring team members ,   and fostering a collaborative, innovation-driven team culture.

- Organized & Adaptable:   Able to manage multiple priorities and thrive in a fast-paced environment.

- Innovative:   Passionate about   leveraging   technology to solve complex problems and drive efficiency.

- Customer-Focused:   Dedicated to building infrastructure that delivers measurable business and customer value.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Are you ready to make a difference? Apply now and join us in our mission to change lives!

Date Posted
29-jul-2026

Closing Date
12-ago-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.