Massachusetts Jobs

MassHire JobQuest Logo

Job Information

Sanofi Group Data Engineering Lead in Cambridge, Massachusetts

Data Engineering Lead

About Sanofi:

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Who You Are:

You are a savvy Data Engineer responsible for the technical development of best-in-class, cloud-first data engineering solutions to support our data product and AI teams. You enjoy mentoring more junior team members and watching them grow, both in their technical and non-technical competencies. You have a keen eye to understand the business needs and business data for the domain area that you support. You revel in delivering innovative and robust data engineering solutions. You thrive in a collaborative environment and love to build data pipelines that power our Data/Analytic products. You are highly motivated, with a passion for data engineering, modelling, cloud technologies, and technical leadership.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

  • AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

  • Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

  • World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.

Job Highlights:

  • Establish technical designs to meet business and technical requirements as a prime data engineering lead

  • Act as a technical leader of all Integration Activities within the project team including Data Model design , technical design and delivery of the solution

  • Develop and maintain all components of data engineering solutions and pipelines based on requirements and design specifications using appropriate tools and technologies

  • Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements

  • Conduct peer reviews for quality, consistency, and rigor for production level solution

  • Create design and development documentation based on standards for knowledge transfer, training, and maintenance

  • Define and promote best practices and standards for code management, automated testing, and deployments

  • Work with business and products teams to understand and decompose high level business requirements, and translate them into technical needs

  • Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases

  • Develop automated tests for CI/CD pipelines

  • Test and validate developed solution to ensure it meets requirements and design specifications

  • Mentor and train junior team members

  • Assess and fix data pipeline issues to ensure performance and timeliness of execution

  • Lead data engineering efforts to modernize and replace legacy solutions and platforms

  • Partner with Data Engineering Manager, Product Owner and Data Analysts to create implementation plan, including assessments of timelines and complexity

  • Gather/organize large & complex data assets, and perform relevant analysis

  • Actively contribute to Data Engineering community and define leading practices and frameworks

  • Communicate results and findings in a clear, structured manner to stakeholders at various levels

  • Remain up to date on the company’s standards, industry practices and emerging technologies 

Key Functional Requirements & Qualifications:

  • Experience working cross-functional teams to solve complex data architecture and engineering problems

  • Demonstrated ability to learn new data and software engineering technologies in short amount of time

  • Experience with agile/scrum development processes and concepts

  • Able to work in a fast-paced, constantly evolving environment and manage multiple priorities  

  • Demonstrated technical analysis and problem-solving skills related to data and technology solutions

  • Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to stakeholders at all levels

  • Pragmatic and capable of solving complex issues, with technical intuition and attention to detail

  • Service-oriented, flexible, and approachable team player

  • Fluent in English (Other languages a plus)

  • Knowledge of pharmaceutical and healthcare data is a plus

Key Technical Requirements & Qualifications:

  • Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 

  • 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Spark, Informatica/IICS or equivalent) – strong expertise in IICS / Informatica mandatory

  • Strong Knowledge/ Experience in Research Data domain / Data Modelling

  • Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake

  • Proficiency in data structures and algorithms

  • Demonstrated experience in scripting languages (Python, R, SQL, Shell scripting)

  • Experience with job scheduling and orchestration (Control-M and Airflow) is a plus

  • Strong proficiency in relevant technologies such as databases (relational and NoSQL), distributed systems, and microservices

  • Experience working with large data sets, and performance and query optimization

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.

Follow Sanofi on Twitter: @SanofiCanada (https://twitter.com/SanofiCanada)   and on LinkedIn: _ _https://www.linkedin.com/company/sanofi .

As a healthcare company and a vaccine manufacturer, Sanofi has an important responsibility to protect individual and public health. _   _This position will require individuals to be fully vaccinated against COVID-19 as part of your job responsibilities.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

#GD-SA

#LI-SA

Pursue progress , discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) !

DirectEmployers