Lead Data Engineer, Salesforce
$172.5-260.1k
+ ESPP
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
Be an early applicant
$172.5-260.1k
+ ESPP
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 7+ years of experience as a Data Engineer or in a similar role
- Proficiency in data engineering tools and languages, such as Python, SQL, and Spark
- Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc
- Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud)
- Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques
- Experience with the Salesforce Ecosystem, specifically Data Cloud
- Problem-solving skills to troubleshoot and resolve data-related issues
- Excellent communication skills and ability to collaborate in a cross-functional environment
- A related technical degree required
What the job involves
- As a Data Engineer at Salesforce within the Data & Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability
- Furthermore, you will act as the lead technical individual contributor for our Agentic AI ecosystem, serving as the Primary Architect for the retrieval layer to ensure our AI agents are grounded in accurate, real-time, and high-context data, bridging the gap between raw data infrastructure and the intelligent, Agentic systems that drive Customer Success
- Implement Search & Retrieval Systems: Design and implement robust search indices that enable AI agents to perform complex retrievals across the Salesforce data ecosystem
- AI Component Development: Lead the hands-on creation of the semantic layer and embedding pipelines necessary for grounding Agentic AI in Customer Success data
- Technical Mentorship: Act as a technical pillar for a specialized team of data and AI engineers, fostering technical excellence and elevating the overall skill set of the organization
- Strategic Technical Roadmap: In partnership with product managers and engineering leaders, define the technical vision for agentic retrieval, aligning search strategy with the broader migration to Data Cloud
- Operational Excellence: Establish and enforce rigorous technical standards for data quality, latency, and index freshness to ensure agents provide reliable, real-time insights
- Cross-Functional Collaboration: Partner with Decision Scientists, Data Scientists, Product Managers, and Engineering Leaders to translate complex business needs into scalable, production-ready technical solutions
- AI Integration & Automation: Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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