Lead Software Engineer
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Job CategorySoftware Engineering
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Lead Data Engineer
San Francisco, CA
Salesforce is embarking on our own Digital Transformation to deliver customer success for our customers and accelerate our growth. A key pillar of this transformation is building a strong data foundation to support all of our core marketing needs through intelligent data sets as a service.
We’re looking for an experienced and committed data engineering lead who would deliver Salesforce Marketing’s data foundation and automated datasets. This lead will work closely with product management, data science, data visualization, and analyst teams to support them by building data architecture and data pipelines using Google Cloud Platform (GCP), who would consume this data for producing business driven insights and AI solutions.
The right candidate will have strong experience with data infrastructure, data architecture, ETL, SQL, automation, real time data pipeline architecture, data frameworks and processes to rapidly integrate disconnected and disparate data sources into automated datasets for analysts consumption. The candidate will also have a proven track record working with enterprise metrics, strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, strong project management skills, and a vision for how to provide data solutions to distribute data products. Experience with marketing and sales data sets is a huge plus.
Develop and deploy data pipelines, both batch and real time, that produce reliable data for various data consumption use cases.
Help manage Marketing data platforms which includes the Google Cloud stack, Amazon Web services, and traditional data warehouses such as Oracle/Snowflake.
Architect, Design and Implement real time engineering solutions on Salesforce Data Cloud.
Manage all aspects of dataset design, creation, and curation; including the frameworks to derive metrics to deliver data products for KPI’s, visualization, data science, analyst and stakeholder teams
Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality and performance.
Drive design, building, and launching of new data models and data pipelines in production systems
Be the subject matter expert for data, pipeline design, and other related data cloud features and technology.
Proactively identify reliability & data quality problems and drive triaging and remediation process
Should have good experience in creating Workflows & scheduling the pipelines.
Partner with others on delivering reliable data that powers actionable insights
Evaluate various technologies and platforms in open source and proprietary products. Execute proof of concept on new technology and tools to pick the best tools and solutions.
Understanding of data governance practices such as metadata management, data lineage, and data glossaries is a huge plus.
Foster collaboration between globally distributed team members
Harness operational excellence & continuous improvement with a can do attitude.
Qualification and Skills:
You have to love data - this is what we do
We are looking for people who are excited about different and unique data sets, and all the ways that they could be used in order to improve user experience
13+ years total experience and 8+ years of relevant experience with big data / data warehousing domain
Consistent track record of leading end to end data engineering solutions
Solid understanding of RDBMS concepts, data structures and distributed data processing patterns
Strong work based experience building data pipelines and orchestration through components like AWS Lambdas, Airflow etc.
Expertise in Advanced SQL & Python language is must
Experience with Cloud technologies like AWS and GCP
Experience with Salesforce Data Cloud (Certification a plus)
Expertise with Salesforce products and data modeling
Experience with building/implementing DevOps methodologies
Deep hands-on experience in complex event driven architectures and stream processing in a variety of technologies
Continual history of strong results in building products on production-grade systems
Partner with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production
Passionate, curious, self-starter with innovative mentality
Experience with Sales and Marketing data is a big plus
Knowledge of Agile methodologies, common scrum practices and tools
A related technical degree required
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Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $160,000 to $305,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.