Lead Data Engineer- Sales

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 position is crucial for bridging the gap between raw data and actionable insights, focusing on the last mile of data enablement. As a Lead Data Engineer, your key responsibilities are to build and maintain data pipelines and reporting-layer data objects that power our analytics and data science functions. In this role you will provide leadership and coordination across STERIS Healthcare business stakeholders to ensure data is accessible, reliable, and optimized for analysis, driving informed decision-making across the organization. You will participate in strategic initiatives, collaborate on the organization’s data strategy and scale the data engineering function to deliver long-term value.

 

As a Lead Data Engineer- Sales, you will design, build, implement and maintain robust data pipelines to support analytics and data science initiatives. You will also develop and manage reporting-layer data objects, ensuring data is accessible and optimized for analysis. In this role you will collaborate with business stakeholders, as subject matter expert you will understand data requirements and deliver tailored data solutions that meet the needs of various business functions.

 

You will be responsible for ensuring data quality, integrity, and security across all data pipelines and reporting layers. You will implement best practices for data management, including data governance, documentation, and identification of improvement opportunities. By staying current with industry trends and advancements in data engineering and analytics, you will continuously improve data capabilities and provide technical guidance and support to team members and stakeholders. In this role you will leverage your extensive experience and knowledge of industry-standard methodologies, and will lead, educate, and develop the team of commercial data enablement engineers and data analysts, fostering a collaborative and high-performing environment. This includes mentoring team members on best practices in data engineering, and data analysis, and providing expert guidance on the design and implementation of technology frameworks, programs, policies, and procedures. 

 

This is a fully remote role.

What You'll do as a Lead Data Engineer- Sales

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 resourc