Lead Data Solutions Developer

At STERIS, we help our Customers create a healthier and safer world by providing innovative healthcare and life science product and service solutions around the globe.

Position Summary

The Lead Data Engineer – Sales plays a critical role in transforming raw data into actionable insights and enabling analytics across the organization. Operating within a federated business Data and Analytics team, you will help build the commercial data engineering function from the ground up while designing, implementing, and maintaining scalable data pipelines and reporting-layer data objects that support business intelligence, analytics, and data science initiatives.

You will work closely with STERIS Healthcare business stakeholders to understand data requirements and deliver reliable, accessible, and optimized data solutions. As a subject matter expert, you will guide cross-functional partners in leveraging data to drive informed decision-making and contribute to the organization’s overarching data strategy and long-term data engineering roadmap.

You will ensure data quality, integrity, and security across all data assets, implementing best practices in data governance, documentation, and continuous improvement. Staying current with industry trends, you will introduce enhancements that elevate the organization’s analytical and data engineering capabilities.

In this working-leader role, you will contribute directly to coding, building, and maintaining production data solutions while also mentoring and supporting a growing team. You will lead by example—providing hands-on technical expertise, shaping engineering standards, and guiding the design and implementation of technology frameworks, programs, and policies.

This is a fully remote role.

What You'll do as a Lead Data Solutions Developer

Design, Build, and Maintain Data Pipelines / Solutions (60%)

• Design, build, test, and maintain robust data pipelines / solutions to support analytics and data science initiatives, ensuring efficient and reliable data flow.
• Define, develop, tests, and manage reporting-layer data objects, ensuring data is accessible and optimized for analysis.
• Maintain data pipelines schedules, orchestrates workflows, and monitors and troubleshoots data pipelines, ensuring smooth and efficient data flow and addressing any issues promptly.
• Optimize data storage and retrieval processes to enhance performance and scalability, ensuring data is readily available for analysis.
• Establish and maintain comprehensive data architecture and data integration documentation, including flows and transformations.
• Work with team members to solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents.
• Lead, manage, and develop a team of data solutions developers and data analysts.

 

Collaborate with Stakeholders and Ensure Data Quality (30%)

• Collaborate with business stakeholders to understand data requirements and deliver tailored data solutions that meet the needs of various business functions.
• Ensure data quality, integrity, and security across all data pipelines and reporting layers, implementing best practices for data management.
• Coordinate efforts to align data requirements across teams, ensuring smooth collaboration without requiring full-scale project management responsibilities.
• Provide technical guidance and support to team members and stakeholders, fostering a collaborative and knowledgeable environment.

 

Stay Current and Promote Data-Driven Culture (10%)

• Stay current with industry trends and advancements in data engineering and analytics, applying new techniques and technologies to improve data capabilities.
• Promote a data-driven culture within the organization, advocating for the use of data in decision-making processes.
• Mentor and develop junior team members, fostering a collaborative and high-performing team environment
• Support the development of data literacy within the organization, providing training and resources to help team members understand and utilize data effectively.
• Collaborate with the analytics team to ensure alignment and integration of data initiatives across the organization.

The Experience, Skills and Abilities Needed

Required:

• Bachelor’s degree in computer science, Math, Statistics, Software Engineering, or related field.
• Minimum 10 years’ experience of overall technical and/or data engineering experience including:
• Minimum 8 years' experience with SQL coding, including ability to build and maintain data pipel