Not specified; not specified; benefits include tim...
Not specified (assumed hybrid)
10+ years data engineering experience
Proficiency in sql python and informatica iics
Experience with apache airflow orchestration
Salesforce is seeking a Lead Data Engineer for its Employee Success team to drive AI and data initiatives. The ideal candidate should possess extensive experience in data engineering, machine learning, and API development, with a focus on building data pipelines and enhancing AI capabilities
Job Summary
The role involves leading the design and optimization of data pipelines to support analytics, AI models, and business intelligence.
Candidates will partner with global teams across North America, EMEA, and APAC to implement data governance and security best practices.
Salesforce offers comprehensive benefits including medical, dental, vision, mental health support, paid parental leave, and an employee stock purchasing program.
Matching Summary
Match Score: 85
Salesforce is seeking a Lead Data Engineer for its Employee Success team to drive AI and data initiatives. The ideal candidate should possess extensive experience in data engineering, machine learning, and API development, with a focus on building data pipelines and enhancing AI capabilities.
Salary
Not specified; Not specified; Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life insurance, disability insurance, 401(k), and employee stock purchasing program
Skills & Requirements
Must-have
10+ years data engineering experience
Proficiency in SQL Python and Informatica IICS
Experience with Apache Airflow orchestration
Expertise in AI ML and LLM deployment
API design and integration skills
Nice-to-have
Salesforce Data360 familiarity
Agentforce platform knowledge
People Analytics background
Snowflake or similar platform experience
Global team collaboration experience
Key Requirements
Bachelor's degree in Computer Science or equivalent work experience
10+ years in data engineering and machine learning
Deep understanding of data warehousing and modeling concepts