Data Product Lead
About The Position
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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. This role supports enterprise analytics, reporting, and AI use cases by helping ensure data platforms are reliable, secure, cost‑aware, and easy to use. The role works closely with business stakeholders, engineering teams, platform partners, and governance leaders to enable teams to produce high‑quality data products with confidence. This position focuses on hands‑on delivery, platform reliability, and practical enablement. Success is measured by platform adoption, consistency of standards, and improved trust in data.
Requirements
- Bachelor’s degree in computer science, Engineering, Information Systems, or related field
- 5–7+ years of experience in data engineering, analytics platforms, or data infrastructure roles.
- 3+ Years of hands‑on experience working with modern data platforms or Lakehouse technologies (such as Databricks or similar).
- Experience implementing data ingestion, transformation, and validation in production systems.
- Familiarity with data quality concepts and tools, including rule‑based validation and monitoring.
- Working knowledge of CI/CD, infrastructure‑as‑code, and secure engineering practices.
- Ability to collaborate effectively across teams.
- Clear written and verbal communication skills.
Nice To Haves
- Experience supporting or operating enterprise data quality platforms.
- Exposure to data catalog, metadata, or lineage tools.
- Experience modernizing or supporting migration from legacy ETL or data warehouse tools.
- Programming & Tools: Familiarity with Python, SQL, Spark, and scripting for automation and orchestration.
- Experience working in cloud environments such as Azure and/or AWS.
Responsibilities
- Support the technical ownership and day‑to‑day operation of enterprise data platforms, including the Databricks Intelligence Platform.
- Implement and maintain platform standards, patterns, and reusable components for data ingestion, transformation, and consumption.
- Apply and support medallion (Bronze, Silver, Gold) patterns, including guidance for schema design, performance, and data lifecycle management.
- Partner with infrastructure and platform teams to ensure environments are stable, secure, and ready for production use.
- Contribute to the implementation and support of enterprise data quality tools and frameworks.
- Help design and apply data quality checks such as validation rules, completeness checks, freshness monitoring, and reconciliation.
- Work with data owners and governance partners to translate quality requirements into practical technical solutions.
- Support transparency into data quality signals and promote consistent use of quality checks within pipelines.
- Build and support batch and streaming data pipelines that align to platform and quality standards.
- Assist teams in adopting near‑real‑time and event‑driven patterns where appropriate.
- Ensure pipelines include common capabilities for monitoring, failure handling, and data validation.
- Partner with Technology Services to support platform reliability, monitoring, and incident response.
- Contribute to operational dashboards, alerts, and basic runbooks.
- Help teams understand and apply cost‑aware usage patterns for compute, storage, and data movement.
- Assist with solving performance, stability, and data issues.
- Follow and support sound engineering practices, including version control, CI/CD, testing, and infrastructure‑as‑code where applicable.
- Ensure platform implementations align with security, privacy, and access control requirements.
- Support audit-ability and traceability through logging, metadata, and lineage capture.
- Work closely with engineers, platform managers, and product partners to deliver platform improvements.
- Translate platform guidance into clear technical steps and examples.
- Share findings, patterns, and documentation to help teams adopt platform capabilities more easily.
- Actively look for ways to improve platform usability, reliability, and developer experience.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- Vacation –120 hours per calendar year
- Sick time - 40 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
- Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
