Senior Data Architect
Key Responsibilities:
Design and implement scalable, efficient, and secure data architectures using Databricks and Snowflake in a cloud environment (AWS, Azure).
Develop and maintain data models, schemas, and pipelines to enable reliable data ingestion, transformation, and storage.
Document architecture designs, technical specifications, and operational procedures.
Collaborate with data engineering and analytics teams to design end-to-end data solutions that meet business needs.
Evaluate and recommend new data technologies and tools to enhance the data ecosystem
Troubleshoot and resolve data platform issues, ensuring high availability and reliability.
Leads and mentors team members in following best practices to deliver high quality software.
Collaborate with internal and external stakeholders on release management and deployment automation.
Required Skills & Experience:
Bachelor's degree in Computer Science or related discipline. Master's degree preferred.
10+ years of hands-on experience in implementing end-to-end data and analytics solutions, utilizing technologies such as Snowflake, Databricks, PySpark for ETL, and proficient in data modeling methodologies
Proficiency in Snowflake data warehousing and analytics & Experience with Databricks big data processing and analytics (Minimum of 5 years of experience.)
Extensive end-to-end solutioning and implementation expertise, encompassing data lakes and Lakehouse architectures
In-depth knowledge of big data concepts and technologies (Python / Spark)
Experience in design and implementation of end-to-end data solutions
Experience in business intelligence, reporting, and/or delivery of modern visualization solutions (Tableau, Power BI)
Strong understanding of ETL (Extract, Transform, Load) processes and tools, implementation experience with multiple data sources & various data formats (Structured, Semi-Structured & Unstructured)
Application Window closes 9/1/2025
Pay Range: $100,000 - $150,000
All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.
About the job
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Senior Data Architect
Key Responsibilities:
Design and implement scalable, efficient, and secure data architectures using Databricks and Snowflake in a cloud environment (AWS, Azure).
Develop and maintain data models, schemas, and pipelines to enable reliable data ingestion, transformation, and storage.
Document architecture designs, technical specifications, and operational procedures.
Collaborate with data engineering and analytics teams to design end-to-end data solutions that meet business needs.
Evaluate and recommend new data technologies and tools to enhance the data ecosystem
Troubleshoot and resolve data platform issues, ensuring high availability and reliability.
Leads and mentors team members in following best practices to deliver high quality software.
Collaborate with internal and external stakeholders on release management and deployment automation.
Required Skills & Experience:
Bachelor's degree in Computer Science or related discipline. Master's degree preferred.
10+ years of hands-on experience in implementing end-to-end data and analytics solutions, utilizing technologies such as Snowflake, Databricks, PySpark for ETL, and proficient in data modeling methodologies
Proficiency in Snowflake data warehousing and analytics & Experience with Databricks big data processing and analytics (Minimum of 5 years of experience.)
Extensive end-to-end solutioning and implementation expertise, encompassing data lakes and Lakehouse architectures
In-depth knowledge of big data concepts and technologies (Python / Spark)
Experience in design and implementation of end-to-end data solutions
Experience in business intelligence, reporting, and/or delivery of modern visualization solutions (Tableau, Power BI)
Strong understanding of ETL (Extract, Transform, Load) processes and tools, implementation experience with multiple data sources & various data formats (Structured, Semi-Structured & Unstructured)
Application Window closes 9/1/2025
Pay Range: $100,000 - $150,000
All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.