Johnson & Johnson

Senior Manager, Data Engineering

Johnson & Johnson

full-time

Posted on:

Location Type: Hybrid

Location: Santa ClaraCaliforniaUnited 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
  • 10 days 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
SQLNoSQLServerlessContainerscloud technologiescloud complianceSDLCAgile methodologiesData ScienceBig Data technologies
Soft Skills
analytical skillsproblem-solving skillscollaborative team environmentcommunication skillscustomer service skillsinterpersonal skillsteamwork skillsmentoringleadershipprioritization
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringISO 27001HITRUSTSOC2