Join Salesforce as a Lead Data Engineer

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About Salesforce

Salesforce, known as the Customer Company, is redefining the future of business using a powerful integration of AI, Data, and CRM. We are committed to leading through our core values, helping companies in every industry innovate and connect with their customers in revolutionary ways. At Salesforce, you have the opportunity to be a Trailblazer: to drive your own performance and career growth, pioneer new paths, and positively impact the world. If you resonate with using business as a platform for change and appreciate companies that prioritize doing well by doing good, Salesforce is your ideal destination.

Data and Analytics at Salesforce

The Data and Analytics Organization (DnA) at Salesforce is a pivotal piece in driving growth and maintaining margins via unmatched data insights. We provide robust governance and strategic execution, aiding data pioneers through an unbiased approach. With our Enterprise Data Strategy, we lay down a robust data foundation and foster a culture that embraces data-driven decision-making. We ensure top-notch end-to-end data quality and integrate platform tools to facilitate easy data access and efficient management, empowering actionable insights and fostering innovation. Our commitment to integrity and accessibility enhances informed decision-making, pushing Salesforce to new peaks of success.

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Role Overview: Lead Data Engineer

As a Lead Data Engineer at Salesforce, you will be pivotal in designing, building, and maintaining scalable and efficient data pipelines and ETL processes critical for informed decision-making. You will also uphold data quality and integrity through rigorous validation and monitoring, shaping how data is collected, stored, and utilized across the company.

Key Responsibilities:

• Develop scalable data pipelines and ETL processes.
• Implement data quality control measures to ensure high data integrity.
• Optimize data storage and retrieval to improve performance and cost efficiency.
• Engage in code reviews and advance coding standards.

Ideal Candidate:

If you are a seasoned Data Engineer with extensive experience in data pipeline development, possess strong big data technology skills, and are enthusiastic about data engineering challenges, you are the ideal candidate for this role. A collaborative spirit and excellent communication skills are essential for success within our team. Familiarity with cloud data platforms is preferred.

Minimum Qualifications:

Applicants should have at least 6+ years of professional experience in data engineering or related fields.

Equality and Accommodations at Salesforce

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. We are committed to fostering a diverse and inclusive workspace. If you require accommodations to participate in the hiring process, please request via our .

Discover more about our commitment to Equality and our extensive employee benefits on our and pages.

Ready to make an impact at Salesforce? Apply today to become a Lead Data Engineer and help drive the future of our data ecosystem!