Overview: The Data Engineering Lead is responsible fguiding a diverse team of digital experts in the design development of fundamental data platforms products, utilizing agile methodologies. This role demands a leader capable of fostering collaboration driving engineering excellence within the data foundation ecosystem.
Key Responsibilities
● Lead the recruitment, hiring, onboarding, retention of a talented collaborative engineering team.
● Develop, lead, empower an efficient, effective, agile engineering team to deliver exceptional capabilities services across the entire data foundation ecosystem.
● Foster effective teamwork collaboration with all internal external stakeholders, including cross-functional business teams, digital functions, third-party technology partners.
● Drive engineering excellence by establishing best practices fengineering standards processes, as well as by implementing innovative solutions to improve development efficiency quality.
● Oversee the implementation enforcement of data governance policies best practices within their area of responsibility, ensuring data quality, accuracy, security, compliance with relevant regulations.
● Manage project timelines, resources, budgets fdata engineering initiatives within their scope, ensuring projects are delivered on time within budget.
● Drive innovation the adoption of new data technologies best practices within the data engineering team, staying updated with industry trends advancements.
● Provide technical leadership guidance to the data engineering team, acting as a point of escalation fcomplex technical challenges unblocking developers to maintain project momentum.
● Embed theganizations core values code of conduct within the team, ensuring adherence to the highest standards of ethics compliance with relevant policies, processes, regulations.
Qualifications
● Bachelor’s degree above in Computer Science, Engineering, a related field. A Master’s degree is preferred.
● Significant experience (typically 10+ years) in engineering roles, with increasing levels of responsibility complexity.
● Demonstrated experience (typically 5+ years) in leading, mentoring, technically guiding other engineers team members.
● Proven track record of successfully designing, building, deploying complex data platforms data products, with deep knowledge of big data ecosystem full-stack programming.
● Experience with project management methodologies, preferably Agile, the ability to manage projects from conception to deployment.
● Solid understanding of data governance principles, data security best practices, data quality management.
● Strong business data acumen, preferably with 5+ years of experience working in the multinational pharmaceutical industry, possessing a deep understanding of the pharmaceutical commercial business process model.
● Customer-centric product-oriented mindset, with a deep understanding of the methodology fimplementing data as a product a passion fdriving data democratization.
● Excellent communication, interpersonal, negotiation skills, with the ability to effectively communicate technical concepts to both technical non-technical audiences.
● Experience in leverage AI GenAI finnovative engineering practices is preferred.
● Pursue progress, discover extraordinary
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