Sr. Manager, Data Engineering - Shockwave Medical

Johnson & Johnson•Santa Clara, CA

2d•Remote

About The Position

Johnson & Johnson is hiring for a Sr. Manager, Data Engineering – Shockwave Medical to join our team. The position is FULLY REMOTE and can sit anywhere in the US. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at https://www.jnj.com/. Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Ready to join a team that’s pioneering the development and commercialization of Intravascular Lithotripsy (IVL) to treat complex calcified cardiovascular disease. Our Shockwave Medical portfolio aims to establish a new standard of care for medical device treatment of atherosclerotic cardiovascular disease through its differentiated and proprietary local delivery of sonic pressure waves for the treatment of calcified plaque. Position Overview Johnson & Johnson is a leading innovator in cardiovascular medical technology, committed to transforming patient outcomes through cutting-edge solutions. Our mission is to improve lives by developing and delivering pioneering treatments that address critical cardiovascular conditions. The Data Engineering Manager is responsible for designing, optimizing, and managing data pipelines that support business intelligence and analytics across commercial functions, with the support of a direct team. This role will focus on SQL-based data transformation, ensuring that data from enterprise data warehouses is structured, accessible, and ready for analysis in tools like Power BI. The Data Engineering Manager will work closely with IT, Analytics, and Commercial teams to enable efficient data workflows that drive business insights and operational efficiency.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
10+ years of experience in data engineering, SQL development, or data pipeline management, preferably in the medical device, medtech, or pharmaceutical industry.
Ability to work in cross-functional teams, translating business needs into technical solutions.
Expertise in SQL and ETL tools for data transformation and warehouse management.
Experience working with cloud-based data platforms (AWS, Azure, Google Cloud).
Strong proficiency in Power BI or other business intelligence tools.
Familiarity with data governance, security, and compliance best practices.
Strong problem-solving skills and ability to optimize data performance for analytics applications.

Nice To Haves

Familiarity with APIs and system integrations for data connectivity.
Knowledge of Python, R, or other scripting languages for data automation.
Experience in building scalable data infrastructure for commercial operations.

Responsibilities

Develop and maintain SQL-based data pipelines to extract, transform, and load (ETL) data from enterprise data warehouses.
Collaborate with IT to ensure data availability, integrity, and accuracy for business intelligence and analytics applications.
Optimize data structures and performance for commercial reporting tools such as Power BI, Tableau, and Looker.
Work closely with Sales, Marketing, Finance, and Commercial Operations teams to understand data needs and deliver scalable solutions.
Manage and improve data access and governance, ensuring compliance with security and regulatory requirements.
Develop automated data pipelines to streamline reporting and enable self-service analytics.
Support data modeling efforts to enhance analytics capabilities for forecasting, segmentation, and pricing.
Identify and implement best practices for data management, warehousing, and analytics infrastructure.
Monitor and troubleshoot data pipeline performance, working proactively to resolve issues.
Act as a bridge between IT and business users, ensuring that data solutions align with commercial objectives.

Benefits

employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company’s long-term incentive program.
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year