Sr Engineer Data Management

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.

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The Senior Engineer, Data Management will support the foundational capabilities needed to enable data-driven decision-making through persona-based insights. This role requires deep expertise in integrating Databricks with enterprise data platforms, applying advanced data management skills to build industry-leading products, and establishing research-based methods for the Data Management team.

Key Responsibilities

Qualifications

Bachelor s degree in Computer Science, Information Systems, Data Science, Analytics, or a related field.

6 to 7 years of experience in data engineering, data management, analytics, business intelligence, or related roles.

Working knowledge of AI-assisted analytics, GenAI concepts, and responsible AI practices.

Ability to apply responsible AI practices, including approved tool usage, sensitive data protection, and clear disclosure and traceability of AI-assisted outputs.

Hands-on experience designing, building, and maintaining data pipelines, integration processes, and analytical data assets.

Strong expertise in data quality management, including profiling, validation, cleansing, standardization, monitoring, and remediation.

Experience with Alteryx, advanced Tableau (programming), PowerApps, and Power BI, including data modeling and semantic layer design.

Proven ability to automate manual processes and scale data operations through improved workflows, tools, and governance practices.

Strong understanding of business process data models, enterprise data structures, and semantic layers.

Strong communication, collaboration, and stakeholder management skills, with the ability to translate technical concepts into business value.

Preferred Skills

Proficiency with SQL, Python, and modern data engineering frameworks.

Experience working with cloud data platforms such as Azure, AWS, or GCP.

Experience supporting enterprise data products, platforms, and reusable data assets.

Exposure to procurement business processes, data domains, and analytics use cases.

Experience applying AI, machine learning, or GenAI capabilities to data quality, data stewardship, or analytics use cases.

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