Salesforce.com seeks a Lead Data Engineer at our San Francisco, CA office located at 415 Mission Street, 94105. The individual could also be placed at 123 Mission Street, 350 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. 1 position is available on this team. Job Duties: Own technical solution design and work on the technical architecture and implementation of data acquisition and integration projects, both batch and real time. Define the overall solution architecture needed to implement a layered data stack that ensures a high level of data quality and timely insights. Craft technical solutions and assemble design artifacts, including functional design documents, data flow diagrams, and data models, and communicate with product owners and analysts to clarify requirements. Build data pipelines, data processing tools, and data technologies in open source and proprietary products like Oracle, Hadoop, Pig, Hive, HBase, Spark, Salesforce API, and Talend big data fabric. Serve as a subject matter expert and mentor for Hadoop ecosystem products, ETL design, and other related big data and programming technologies. Identify performance and data quality problems and drive the team to remediate them, working to identify incomplete data, improve the overall quality of data, and integrate data from several data sources. Advocate architectural and code improvements to the team to improve execution speed and reliability. Design and develop tailored data structures in database and Hadoop and create functioning ETL prototypes to assemble production-ready data flows in order to address quickly changing business needs. Support Data Science research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements. Perform data profiling, complex sampling, statistical testing, and testing of reliability on data. Articulate pros and cons of various technologies and platforms in open source and proprietary products and execute proof of concept on new technology and tools to help the organization pick the best tools and solutions.  Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and six (6) years of experience in the field of software engineering or systems analysis or six (6) years of experience in the job offered OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and eight (8) years of progressively responsible experience in the field of software engineering or systems analysis or eight (8) years of experience in the job offered. Training will not be provided to applicants. Special Skill Requirements: (1) Big data processing (2-3 years); (2) Big data storage (2-3 years); (3) big data processing design patterns (2-3 years); (4) data modeling (2-3 years); (5) Hadoop (2-3 years); (6) Spark (2-3 years); (7) Pyspark (2-3 years); (8) SQL (2-3 years); (9) Git or Stash (2-3 years). Any suitable combination of education, training and/or experience is acceptable. Education, experience and criminal background checks will be conducted. Salary: $219,975.00 per annum. Hours: 40 hours per week M-F, 9:00 a.m. to 5:00 p.m. Interested applicants should send resumes to the following address: Recruitment and Employment Office, SALESFORCE.COM, Attn: Job Ref #: SAL33531, P.O. Box 56625, Atlanta, GA 30343.