Data Product Lead

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $94,000–$151,800 / yr
Posted: 1 day ago
Closes: Jun 18, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $160k

This role $123k

$81k most similar roles pay here $213k

This role pays less than 86% of similar roles. Most pay $126,800–$193,207 — the shaded band above. At the midpoint, this role pays about $123k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 65 open roles on FindRole.

Listed pay typically runs $122,000–$201,250 across 65 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Data Product Lead

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The Data Product Lead at Corporate Business Technology is an experienced individual contributor responsible for building and maintaining core data platforms and ensuring high-quality data products. This role involves hands-on delivery of enterprise data platforms like Databricks, implementing medallion patterns, and supporting data quality tools such as validation rules and freshness monitoring. The candidate will work closely with engineering teams to build reliable batch and streaming pipelines while adhering to cost-aware usage practices. Key skills include experience with modern data platforms, Python, SQL, Spark, CI/CD, and secure engineering practices, along with strong collaboration and communication abilities. This position focuses on enabling teams to produce high-quality data products confidently within a large-scale enterprise environment.

Skills

Databricks Python SQL Spark CI/CD Terraform AWS Azure Kubernetes PostgreSQL Git Jenkins DataBricks Intelligence Platform medallion patterns data quality tools batch and streaming data pipelines infrastructure-as-code version control security practices

What you'll do

Support the technical ownership and daily operation of enterprise data platforms.
Implement and maintain platform standards for data ingestion, transformation, and consumption.
Contribute to the design and application of data quality checks and frameworks.
Build and support batch and streaming data pipelines that align with platform standards.
Ensure transparency into data quality signals and promote consistent use of quality checks.

What we're looking for

5+ years of experience in data engineering or analytics platforms.
Bachelor’s degree in computer science, engineering, information systems, or related field.
Hands-on experience with modern data platforms like Databricks.
Experience implementing data ingestion, transformation, and validation in production.
Familiarity with data quality concepts and tools, including rule-based validation.

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