
Senior Manager, Data Engineering
Johnson & Johnson
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • United States
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Salary
💰 $157,000 - $271,400 per year
Job Level
About the role
- Lead and expand a successful data engineering team in a strategic capacity, including developers, business analysts, testers, project management, and operations.
- Ensuring the high availability, reliability and robustness of a data platform supporting multiple products in MedTech Surgery
- Lead and motivate your team to build new features and maintain/improve existing functionality to support business and product priorities.
- Partner with peer organizations (program management, commercial, quality), and data scientists other business verticals to understand, refine, and deliver on business needs.
- Inspire and deliver data engineering innovations that fuel the growth of business
- Coach team members and provide mentoring and growth.
- Prioritize projects across the team and allocate resources to meet business and team goals.
Requirements
- A minimum of Bachelor’s degree in Computer Science, Engineering or equivalent experience, is required
- 10+ years of overall experience in technology with at least 3 years managing teams of 5 or more members is required
- Solid Understanding of leading cloud technologies and concepts (e.g., SQL, NoSQL, Serverless, Containers, etc.) is required
- Knowledge of public cloud platforms (AWS Preferred) is required
- Strong analytical and problem-solving skills is required
- Ability to empower in a collaborative team environment is required
- Excellent communication, customer service, interpersonal, and teamwork skills is required
- Strong understanding of cloud compliance (e.g., ISO 27001, HITRUST, SOC2) is required
- Experience managing remote teams is highly preferred
- Experience commercializing and scaling PaaS environments is highly preferred
- Understanding of Medical Device Data Systems is highly preferred
- Solid understanding of SDLC and Agile methodologies is preferred
- Knowledge of Data Science and Big Data technologies/methodologies is preferred
- Previous support establishing a global data strategy is preferred
- Experience automating cloud compliance is preferred.
Benefits
- Subject to the terms of their respective plans, 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.
- Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringcloud technologiesSQLNoSQLServerlessContainersSDLCAgile methodologiesData ScienceBig Data technologies
Soft Skills
leadershipteam motivationanalytical skillsproblem-solvingcollaborationcommunicationcustomer serviceinterpersonal skillsteamworkmentoring
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringISO 27001HITRUSTSOC2