Lead Consultant - Data Ops Engineer

Job Title: Lead Consultant - Data Ops Engineer

Career Level - E

Introduction to role:

Join our Data Analytics and AI (DA&AI) team within Operations IT as a Lead Consultant - Data Ops Engineer. In this pivotal role, you will guide the development and execution of roadmaps for data foundation platforms, focusing on design, optimization, and innovation. You will manage both technical and financial aspects of platforms, ensure alignment with security and compliance standards, and drive automation and efficiency. This role involves collaborating with stakeholders, overseeing third-party partnerships, and maintaining high-quality data and documentation. You will also provide technical support, manage project resources, and drive technological innovation.

Accountabilities:

• Collaborate with product managers, architects, and delivery managers to define and drive the technical vision, ensuring alignment with product objectives and business needs.
• Maintain detailed technical designs, refine user stories, and manage technical risks and resource allocation.
• Lead and mentor technical teams (Data Engineering, Cloud Engineering, etc.) and work with AI/GenAI leads to foster collaboration and innovation.
• Define and communicate governance frameworks for product development, including risk management and performance metrics.
• Oversee the creation and maintenance of technical documentation, including architecture diagrams and deployment processes.
• Ensure compliance with regulatory requirements, data security, and industry standards.
• Direct DevOps and DataOps teams to ensure best practices in coding, security, and performance.
• Ensure data solutions adhere to FAIR principles to enhance usability and sharing.

Essential Skills/Experience:

• 10+ years in data and software engineering.
• Deep expertise in Data Engineering, Software Engineering, Cloud Engineering, and AI.
• Strong understanding of DevOps, DataOps, and product management.
• Experience with Agile methodologies and CI/CD practices (GitHub Actions, Automation Testing).
• Proficiency in technologies like Snowflake, DBT, Kubernetes, and tools like Jira.
• Skilled in coding languages (Java, Python) and cloud services (AWS, Airflow, ECS/EKS).
• Knowledge of both SQL and NoSQL databases.

Desirable Skills/Experience:

• Bachelor's or Master’s degree in a relevant field or equivalent experience.
• Experience in the pharmaceutical industry or similar large multinational environments.
• AWS Cloud or other relevant certifications.

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.

At AstraZeneca, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Here you can innovate, take ownership, experiment with leading-edge technology, and tackle challenges that might never have been addressed before. With countless opportunities to learn and grow, you will shape your own path with support all the way.

Ready to make a difference? Apply now to join our team!

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.