Principal Data Platform Architect Evinova

Join Evinova as a Principal Data Platform Architect in our Data Platform team leading the architecture of a modern cloud-native data platform. Shape endtoend systems that are secure scalable and AIready powering nextgeneration digital products for clinical trials and patient outcomes.

Evinova is a new health tech business with a mission to transform billions of patients lives through technology data and cutting-edge ways of working in the Life Sciences industry. Evinova provides a software platform and software application suite that focuses on science to support clinical trials by enabling effective data analytics and efficient planning execution and oversight of all trials in a sponsor portfolio.

Evinova delivers market-leading digital health solutions that are science-based evidence-led and human experience-driven. Smart risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we are helping. Launch game-changing digital solutions that improve the patients experience optimize clinical trial execution and deliver better health outcomes.

About the role:

We are creating a dynamic and innovative team to take our organization to the forefront of technology solutions for the life sciences industry. Our cloud platform will play a crucial part in the success of Evinova as the foundation for our current and future digital products.

You will be a senior technical authority responsible for the overall architecture and integrity of our cloud-native data platform and its ecosystem. You will operate at system and platform level ensuring that individual components services and data flows come together as a secure reliable costeffective and futureproof whole.

• Own and evolve the system architecture for features and products within the Data Platform crew ensuring designs are cohesive across applications integration layers infrastructure and data.

• Define promote and govern standard patterns reference architectures and reusable components that ensure consistency reliability and security across data products and platform services.

• Maximize the effective use of AWS services and native data capabilities to deliver performant costoptimized and maintainable systems including multiaccount multiregion and highavailability designs.

• Identify surface and mitigate architectural risks early making clear tradeoffs and providing recommendations to product and engineering stakeholders and senior leadership.

• Define clear boundaries and integration contracts between systems domains and microservices enabling modular event-driven and APIfirst architectures with strong encapsulation.

• Partner closely with Team leadership Data Engineers Platform Engineers and product to advance and support teamlevel CI/CD practices infrastructureascode automated testing and observability for data and platform workloads.

• Contribute to and oversee the design and implementation of CI/CD pipelines for data and analytics services ensuring alignment with platform infrastructure standards security policies compliance principles and operational SLAs.

• Provide hands-on engineering direction and technical mentorship performing architectural and code reviews to uphold high standards of scalability resilience performance and maintainability.

• Champion bestinclass data engineering and system design principles including modern data modeling orchestration observability data quality controls lineage fault tolerance and graceful degradation.

• Oversee the creation and maintenance of highquality technical documentation architectural decision records system diagrams and runbooks and support knowledge sharing and training for engineers consuming platform capabilities.

• Act as a key communication channel between the Data Platform crew and other product platform and enterprise architecture teams ensuring alignment on platform strategy roadmaps integration approaches and data contracts.

• Shape and influence technology roadmaps target architectures and investment decisions for the data platform contributing to longterm platform strategy and capability evolution.

• Evaluate and guide adoption of new technologies tools and patterns in cloud data integration and observability ensuring they add clear value and fit within the overall system architecture.

Required Skills:

• Bachelors degree in Computer Science Information Technology Engineering or a related field (or equivalent practical experience).

• Extensive experience in software engineering or data engineering roles including significant experience as a System Architect Solutions Architect Data Architect or equivalent senior technical leadership role.

• Deep expertise in public cloud platforms with a strong focus on AWS (e.g. EC2 S3 RDS/Aurora DynamoDB Lambda ECS/EKS Glue EMR MSK/Kinesis API Gateway IAM Secrets Manager) including design of multitier and distributed systems.

• Proven track record designing endtoend system architectures for complex missioncritical workloads including high availability disaster recovery capacity planning and performance optimization.

• Strong understanding of security and compliance including SSL/TLS network security (VPC firewalls security groups) identity and access management encryption key management and security by design principles.

• Experience working in regulated environments or with standards such as HIPAA GxP FISMA or similar and designing architectures that enable compliance auditability and traceability.

• Proficiency in modern programming languages such as Java Python or and in designing and integrating SOAP/RESTful APIs and eventbased interfaces.

• Strong data architecture skills including experience with SQL and NoSQL databases data warehousing data lakes and streaming/eventdriven data solutions.

• Handson experience with eventdriven architectures (e.g. Kafka/MSK Kinesis SNS/SQS) and designing asynchronous resilient integration patterns.

• Solid grounding in data modeling (conceptual logical and physical) including modeling for analytics operational data stores and domaindriven design.

• Demonstrated experience with CI/CD pipelines infrastructureascode (e.g. Terraform CloudFormation CDK) automated testing and modern DevOps/SRE practices.

• Experience designing for observability and operability including logging metrics tracing alerting and runbookdriven operations.

• Ability to translate business and product requirements into clear architectural options and recommendations including cost performance risk and operational tradeoffs.

• Strong communication and influencing skills with experience engaging senior stakeholders and facilitating architectural decisionmaking across teams.

• Experience setting or contributing to enterprise or domain architecture standards and governance including architecture review processes and guardrails.

• Proven ability to shape and drive multiyear technology roadmaps at platform or portfolio level.

• Financial and commercial acumen in technology decisions (e.g. cloud cost optimization buildvsbuy decisions vendor evaluation).

• Experience leading crossteam architectural initiatives migrations or modernization programs (e.g. legacy-to-cloud monolith-to-microservices data platform replatforming).

• Strong risk management capability including identification of systemic risks mitigation plans and communication of residual risks to leadership.

Soft skills:

• Strong business acumen with the ability to connect systemlevel technical decisions to business outcomes cost optimization and ROI.

• Strategic thinker able to balance longterm architectural vision with pragmatic incremental delivery and technical debt management.

• Clear and confident communicator able to explain complex technical concepts and system designs to nontechnical stakeholders and senior leaders.

• Collaborative mindset building trusted partnerships across engineering product security compliance enterprise architecture and business teams.

• Comfortable operating at scale and ambiguity with the ability to simplify complexity and set clear direction for multiple teams.

• Structured decisionmaker using defined patterns and frameworks to evaluate architectural options and tradeoffs and documenting decisions transparently.

• Passion for mentoring and developing others creating an environment of continual learning technical excellence and healthy challenge.

• Curiosity and continuous learning mindset staying abreast of emerging technologies and practices in cloud data integration security and AI.

• Ownership mentality with a strong focus on quality reliability resilience and user experience for the systems you design.

Desired Skills:

• Experience designing and delivering data platforms and services in the life sciences healthcare or other highly regulated industries.

• Familiarity with the Drug Development process and associated GxP principles and how these influence data security and audit requirements.

• Experience with modern data platform concepts such as data mesh data products domainoriented ownership and selfservice data infrastructure.

• Knowledge of analytics ML/AI enablement and MLOps patterns and how to architect data platforms that support advanced analytics and model lifecycle management.

• Exposure to clinical trial data standards (e.g. CDISC) or healthcare data standards (e.g. HL7/FHIR).

• Familiarity with observability tooling and practices (logging metrics tracing) for data platforms and distributed systems.

• Experience working in agile productcentric organizations ideally in a crew/tribe or similar model at scale.

• Professional certifications in AWS Azure or relevant architecture disciplines (e.g. AWS Certified Solutions Architect Professional AWS Certified Security Specialty TOGAF or similar).

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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

Closing Date

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.