Lead Consultant - Bespoke Engineering
India - Chennai
AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.Job Title: Lead Consultant - Bespoke Engineering
Career Level - D3
Introduction to role
We are seeking a seasoned and innovative Lead Consultant - Bespoke Engineering to lead our bespoke engineering team within the Enterprise IT organization. This role demands a highly skilled professional with deep technical expertise in Python, SQL, AI/ML technologies, Mulesoft, SnapLogic, .Net, and MS Power Platforms. You will be responsible for designing, developing, and delivering custom engineering solutions to address complex business challenges, while fostering a culture of innovation, collaboration, and technical excellence. The ideal candidate will have a consistent track record of leading diverse engineering teams, delivering scalable and robust solutions, and driving the adoption of modern technologies and standard processes.
Accountabilities
Technical Leadership
- Own the design and development of bespoke engineering solutions, demonstrating technologies like Python, SQL, AI/ML, Mulesoft, SnapLogic, .Net, and MS Power Platforms.
- Drive the adoption of modern development frameworks, cloud-native architectures, and integration platforms to accelerate solution delivery.
- Collaborate with enterprise architects to design scalable, secure, and resilient software architectures.
- Be responsible for the software development lifecycle (SDLC), including requirement gathering, design, development, testing, deployment, and support.
- Partner with customers across IT and business units to align engineering solutions with organizational goals.
Innovation and Strategy
- Drive the development and implementation of AI/ML models to solve business problems and unlock new opportunities.
- Champion the integration of enterprise systems using Mulesoft and SnapLogic to streamline workflows and improve data accessibility.
- Explore and promote the use of MS Power Platforms to enable rapid development of low-code/no-code applications for business users.
- Stay abreast of emerging technologies and trends, finding opportunities to enhance bespoke engineering capabilities.
Governance and Compliance
- Establish and enforce development standards, security protocols, and compliance requirements across bespoke engineering projects.
- Conduct regular code reviews, performance evaluations, and audits to ensure the integrity and reliability of delivered solutions.
- Collaborate with IT governance teams to ensure consistency to organizational policies and standards.
Essential Skills/Experience
Required Skills and Qualifications
Educational Background
- Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
Technical Abilities
- Expertise in Python and SQL for application development, data processing, and analytics.
- Strong understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their application in solving real-world challenges.
- Proficiency in Mulesoft and SnapLogic for enterprise integration and API management.
- Solid experience in .Net Framework/Core for building enterprise-grade applications.
- Hands-on knowledge of MS Power Platforms (Power Apps, Power Automate, Power BI) for low-code/no-code development and process automation.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DevOps practices (CI/CD pipelines, containerization, and microservices).
Soft Skills
- Critical thinking with the ability to align engineering initiatives to business objectives.
- Strong problem-solving and decision-making abilities.
- Passion for innovation, continuous improvement, and coaching team members to achieve their full potential.
Desirable Skills/Experience
Preferred Qualifications
- Certification in AI/ML, Mulesoft, or Microsoft Power Platform is a plus.
- Experience in enterprise-level integrations and data engineering projects.
- Familiarity with data visualization tools such as Tableau or Power BI.
When we put unexpected teams in the same room, we fuel 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, we empower our employees to lead and take on more ownership. Working in Technology here means you'll be a self-starter who is comfortable stepping up and taking ownership. You'll be empowered to orchestrate new possibilities, solve challenges and continuously innovate. Here you'll join hackathons, work with large data sets and challenge yourself to push new boundaries. Our work has a direct impact on patients by redefining our ability to develop life-changing medicines. We combine ground breaking science with leading digital technology platforms and data to drive exponential growth. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise.
Ready to make an impact? Apply now!
Date Posted
11-Apr-2025Closing Date
28-Apr-2025AstraZeneca 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure CI/CD Computer Science D3 Data visualization DevOps Engineering GCP Machine Learning Microservices ML models Pipelines Power BI Python PyTorch Scikit-learn SDLC Security SQL Tableau TensorFlow Testing
Perks/benefits: Career development Flex hours
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