Sr Engineer Data Management

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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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Job Description:

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

• Drive operational goals that directly support Data Management outcomes and enterprise data product delivery.
• Perform data profiling and analysis to identify quality trends root causes and opportunities for cleansing standardization and remediation.
• Deliver complex analyses that support data science advanced analytics and large-scale data mining initiatives.
• Identify and implement opportunities to automate manual processes improve scalability and strengthen operational efficiency.
• Design and deploy custom data solutions programs and platforms that address complex business and data science needs.
• Develop components of comprehensive data solutions aligned to customer expectations business requirements and technology standards.
• Coach junior colleagues on data management methods engineering practices operating processes and role responsibilities.
• Apply Johnson & Johnsons Credo and Leadership Imperatives in day-to-day collaboration decision-making and team engagement.

Qualifications

Bachelors 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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