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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

​We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Join the Marketing AI/ML Algorithms and Applications team within Salesforce's internal marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's own marketing initiatives, helping to promote our vast product portfolio to a global customer base, including 90% of the Fortune 500.

Join the Marketing AI/ML Algorithms and Applications team within Salesforce's internal marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's own marketing initiatives, helping to promote our vast product portfolio to a global customer base, including 90% of the Fortune 500.

We are seeking an experienced Lead / Staff Data Engineer to spearhead the development of scalable data platforms and pipelines that enable advanced customer analytics, personalization, and AI/ML-driven marketing at Salesforce. In this pivotal role, you will work closely with our Data Science team to support the full lifecycle of model development, from data exploration to production deployment.

Responsibilities:

• Lead the technical architecture, design, and implementation of scalable data platforms, pipelines, and feature stores to support advanced statistical and machine learning techniques

• Develop and maintain Feature Stores to support scalable ML algorithm development and deployment, ensuring efficient and consistent access to high-quality features for predictive modeling and advanced analytics

• Architect and build real-time and batch data processing systems, including ETL workflows, to integrate customer data from multiple sources, ensuring data quality and accessibility for modeling purposes

• Partner with Analytics, Data Science, and Business teams to understand and meet their data needs, particularly for AI/ML-driven marketing initiatives such as propensity models, uplift models, and next-best recommender systems

• Implement data infrastructure to support model deployment, monitoring, and in-production tuning processes

• Optimize data infrastructure for performance, scalability, reliability, and cost-efficiency

• Work with data stewards and custodians to ensure data quality, security, and governance, adhering to Salesforce's commitment to responsible and ethical use of data

• Provide technical leadership and mentoring to the data engineering team, fostering a culture of innovation and continuous learning

Position Requirements:

• Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies or the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

• 11+ years experience building enterprise-scale data platforms and pipelines for large-scale data sets in a cloud environment

• Expert knowledge in big data technologies such as SQL, Python, PySpark / Spark, Hive, Presto, Kafka

• Strong knowledge of data modeling techniques and tools, with emphasis on database design and ETL processes

• Strong expertise in cloud platforms such as AWS, GCP, or Azure for data sourcing, supporting model development, and assisting with operationalization    

• Experience with data engineering technologies such as DBT, Airflow, data warehouses (e.g., Snowflake, Redshift) and data lakes (e.g., S3, HDFS)

• Familiarity with advanced statistical and machine learning techniques as to their data requirements

• Experience with customer data platforms (CDPs) and customer 360 initiatives

• Excellent problem-solving and stakeholder communication skills

• Passion for enabling data-driven audience optimization and customer analytics in B2B contexts

• Familiarity with Salesforce products and B2B customer data is advantageous

This role offers an exciting opportunity to leverage your big data expertise to drive data-driven innovation for the world's #1 CRM provider, working closely with our Data Science team to unlock transformative value for our vast global customer base through AI/ML-driven marketing initiatives.

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