Senior Manager, Data Architect and Analytics Engineering

Work Schedule

Environmental Conditions

Job Description

When you join us at Thermo Fisher Scientific youll be part of an inquisitive team that shares your passion for exploration and discovery. With revenues exceeding $40 billion and the industrys largest investment in R&D we provide our people the resources and chances to create significant contributions to the world.

If you are passionate about the intersection of finance data solutions data science analytics and data visualization this is the role for you. These areas come together to tell a story and drive decision-making within a world-leading life science company.

As a member of the Finance Digital Transformation group the Data & Analytics Engineer will collaborate across various divisions and functions. They will build develop and maintain analytics and data solutions for customers with diverse technical backgrounds. Their work aims to generate data insights that improve efficiency productivity and revenue.

Key Responsibilities:

• Lead the architecture and implementation of data pipelines and Microsoft Fabric-based data models to enable unified financial reporting and analytics.
• Build review and optimize ETL processes developed in Python ensuring efficient data ingestion transformation and quality across diverse data sources (ERP financial systems operational platforms).
• Partner with Finance leadership to define business requirements translate them into robust technical builds and deliver actionable insights for decision-making.
• Establish and enforce data engineering standards including coding procedures documentation version control and automated testing for ETL pipelines.
• Develop test and deploy scalable data models using Lakehouse architectures and Fabric Data Warehouses to support forecasting planning and profitability analysis.
• Provide technical leadership and mentorship to data engineers and analysts encouraging skill growth in Fabric Power BI and modern Python data frameworks (Pandas PySpark SQLAlchemy).
• Collaborate multi-functionally with Finance IT and Data Governance teams to ensure alignment with enterprise data architecture and security policies.
• Keep up-to-date with developments in Microsoft Fabric Power BI Python and data orchestration tools and suggest their strategic implementation.
• Requirements/Qualifications:
• Bachelors degree or equivalent experience in a quantitative field such as Statistics Computer Science Mathematics Data Science or a related field; masters or equivalent experience preferred
• 4 years experience in a data engineer or data science role with progressive responsibilities and scope
• Experience building models and analyzing large complex data sets yielding opportunities for revenue and/or process improvement within an organization
• Technical proficiency in Python and SQL
• Proficiency in data engineering and reporting platforms such as Databricks Power Bi Tableau SAS Analytics
• Knowledge of Agile/Scrum methodology is a plus
• Hands-on experience with distributed computational framework such as Spark
• Minimal travel required <10%