Lead, Data Engineer

  • Dallas, TX
  • Posted 21 hours ago | Updated 10 hours ago

Overview

On Site
Full Time

Skills

Software Engineering
Artificial Intelligence
Customer Relationship Management (CRM)
Blaze
Value Engineering
Analytics
Supply Chain Management
Data Management
Accessibility
Sales
Productivity
Go-To-Market Strategy
Slack
Sales Strategy
Data Quality
Regulatory Compliance
Auditing
IT Management
Mentorship
Data Integration
Decision-making
Analytical Skill
Documentation
Innovation
FOCUS
User Experience
Communication
Articulate
Data Engineering
Big Data
Apache Spark
Python
SQL
Scalability
MEAN Stack
SAP BASIS
Law
Recruiting
Promotions
Training
Salesforce.com
Insurance
Purchasing

Job Details

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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.

Senior Data Engineer

Office hybrid in Dallas, TX

Org Overview

The DET Data Solutions is Salesforce's cornerstone for fostering growth and increase margins through unparalleled data and analytics insights. The Sales Intelligence pillar within the DET Data Solutions Organization is the partner for our sellers and sales leaders to provide data-driven predictability of the business as well as insights to drive revenue. Our data products are at the center of the ability to execute on selling campaigns and strategic decision making. We ensure end-to-end quality through a cohesive data supply chain and enable seamless data access to our partners and stakeholders. We work on an automated data management platform driving efficiency and growth with actionable insights. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence.

Team Overview

The Sales Intelligence team is responsible for data products, Seller applications and automation that increase Seller productivity. Our data products address urgent needs from the business to generate deep insights and require advanced understanding of business practices and logic. We need to adapt fast to changes in our Go-to-market model and propagate changes quickly. Our Slack seller applications will reach thousands of sellers in the field with relevant customer signals, transformed to be delivered at the right time to the right audience, driving pipeline and revenue. The Lead Engineer is responsible to support ECS Sales Strategy team with the compliance program needs and create data products that drive compliance with the highest data quality and accuracy and automate the solutions with the focus on improving stakeholder experience.

Role Description:
  • Design, Build complex data pipelines, frameworks, and solutions that align with business objectives. Ensure data quality, integrity, security, and scalability to support compliance audits
  • Provide strong technical leadership within the data engineering team, guiding and mentoring junior data engineers, and leading by example.
  • Champion engineering best practices, automate processes, and contribute to tools that streamline operations and enhance overall reliability.
  • Drive data integration strategies and frameworks, contributing to the connection of diverse data sources for data-driven decision-making.
  • Deliver data models, optimize data designs for analytical and operational purposes.
  • Contribute to maintaining documentation of data engineering standards, best practices, and processes.
  • Actively seek opportunities for innovation in data engineering processes and solutions, with a focus on scalability.
  • Expertise in big data technologies like Spark, Presto and strong coding skills in Python, Complex SQL, dbt etc...
  • Understanding of scalability and reliability concerns for data-intensive applications
  • Have that unique viewpoint to solve problems enabling user experience
  • Exceptional communication skills, and articulate technical concepts into easy-to-understand language for business partners.
  • Preferred: Experience with the feature engineering, Salesforce Products

Minimum Requirements:
  • 6-8 years of experience in data engineering and related roles
  • A related technical degree required
  • Proven experience in designing and building complex data pipelines, frameworks, and solutions
  • Expertise in big data technologies such as Spark
  • Strong coding skills in Python, complex SQL, and dbt
  • Understanding of scalability and reliability concerns for data-intensive applications

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link:
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