Senior Data Engineer / Cloud Data ArchitectEdwards Lifesciences Belgium • Dover, Delaware, United States

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Senior Data Engineer / Cloud Data Architect

Edwards Lifesciences Belgium

Dover, Delaware, United States

Dover, Delaware, United States

About

Position Summary We are seeking a highly skilled Senior Data Engineer / Cloud Data Architect to support a major enterprise data modernization initiative. This role will focus on architecting, building, and optimizing a modern cloud-native Enterprise Data Warehouse (EDW) environment from the ground up. Essential Duties Architect enterprise-scale cloud-native data warehouse solution. Design scalable ETL/ELT pipelines across enterprise platforms. Develop advanced SQL transformations and enterprise data models. Lead API-based enterprise data ingestion initiatives. Support synchronization across ERP, CRM, analytics, and operational systems. Optimize cloud platform scalability, reliability, and performance. Troubleshoot complex enterprise data issues and perform root cause analysis. Qualifications Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. 7+ years of Data Engineering, Data Architecture, or Enterprise Analytics experience. Extensive experience building Enterprise Data Warehouses (EDW) from the ground up. Strong experience working within cloud-native enterprise environments. Experience supporting enterprise modernization and cloud migration initiatives preferred. Industry experience within healthcare, financial services, or insurance environments preferred. Skills and Job‑Specific Competencies Expert-level SQL development, including complex queries, CTEs, window functions, stored procedures, and query optimization. Strong hands-on experience with Google Big Query, Databricks, and Microsoft Fabric. Experience with API integrations and enterprise data ingestion frameworks. Experience with enterprise ETL/ELT tools and cloud data pipelines. Knowledge of cloud-native data platforms and EDW architecture. Experience with data lakes, Lakehouse concepts, and enterprise data modeling. Familiarity with Star and Snowflake schema design. Experience with Azure Data Factory (ADF), Power BI, Tableau, or Looker preferred. Strong analytical and problem-solving abilities. Excellent communication and cross-functional collaboration skills. Ability to manage multiple priorities in fast-pace environments. Strong documentation and organizational skills. Travel Requirements No travel will be required, unless at the client’s discretion. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be provided to qualified applicants or candidates with disabilities upon request to enable them to perform essential functions. This role may require mobility to attend in‑person meetings, sitting or standing for extended periods, and the use of telephone, computer, or other electronic communication devices. Salary Range The compensation for this specific role is based on a wide range of factors, including but not limited to education, licensure and certifications, location, experience, and training. A reasonable estimate for the current hourly range for this role is $95–110. Benefits Health insurance, sick leave, 401(k), and access to top-tier employers and job opportunities. Inclusion and Diversity Statement SolomonEdwards is an Equal Opportunity/Affirmative Action employer. We firmly believe in fostering an inclusive and diverse workplace environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, veteran status, or any other characteristic protected by applicable laws. All employees, including managers and supervisors, are responsible for upholding our EEO and diversity principles. Discrimination or harassment of any kind will not be tolerated. Location Remote
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Dover, Delaware, United States

Languages

English

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