Technical Lead - Data Engineering

Job Description

As the Technical Lead, you will drive the successful technical delivery of products/projects aligned with business goals. You will use deep technical expertise, lead and coordinate across all technical workstreams (Data & Cloud Engineering, Software Engineering, AI, and other relevant tech stacks), and work closely with relevant team members both internally and externally. Accountabilities Work closely with product managers, architects, and delivery managers to provide technical knowledge and support the team. Own the technical vision of the product and collaborate with multi-functional teams to define designs that meet product objectives and success criteria. Compile and maintain detailed technical designs, refine user Epics/user stories, and ensure adherence to timelines and resource allocations. Identify technical risks and ensure visibility and progress toward mitigating these risks. Lead, direct, and mentor technical teams while fostering a culture of collaboration, innovation, and accountability. Define and communicate governance frameworks specific to product development. Deliver components of the Service Acceptance Criteria as part of the Service Introduction deliverables. Ensure alignment to regulatory requirements, data security, and industry standards throughout the development lifecycle. Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements. Ensure data pipelines and solutions carry out to the FAIR principles to enhance data usability and sharing. Essential Skills/Experience Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering Strong understanding of DevOps and DataOps ways of working Proven expertise in product development and/or product management Offer technical thought leadership for Data and Analytics and AI products Effective communication, partner management, problem-solving skills, and team collaboration Hands-on experience working in end-to-end product development with an innovation mindset Knowledge of Data Mesh and Data Product concepts Experienced in Agile WoW Collaborative approach to engineering Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live Data Storage & Management: Oversee the design and management of data storage systems including Snowflake Business Intelligence & Reporting: Own the development of actionable insights using Power BI Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker Proficient in multiple coding languages such as Python Knowledge of database technologies both SQL and NoSQL Familiarity with agile methodologies Previous involvement in a large multinational company or pharmaceutical environment Strong leadership and mentoring skills Desirable Skills/Experience Bachelors or masters degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience. Experience working in the pharmaceuticals industry Certification in AWS Cloud or any data engineering or software engineering-related certification