Salesforce
Website:
salesforce.com
Company:
https://www.linkedin.com/company/salesforce
Seniority: Not Applicable
Industries: Software Development, IT Services and IT Consulting, and Technology, Information and Internet
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
Data
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We're hiring a Director of Data Engineering to lead our Marketing Technology Data Engineering team. You'll take over ownership of a strong, established senior engineering bench and set technical direction for the data platforms powering marketing analytics, attribution, and activation across the business. This is a director-level role reporting into the Director, Marketing Technology and Engineering, with direct people management of senior data engineers.
What You'll Do
Technical Leadership
- Architect, build, and maintain scalable data pipelines and ETL/ELT workflows
- Design and optimize data models across warehouse and lakehouse environments
- Partner with data analysts, data scientists, and business stakeholders to deliver high-quality data products
- Establish and enforce engineering best practices, code review standards, and documentation norms
- Evaluate and champion new data technologies and frameworks
People Management
- Directly manage 3+ Senior Data Engineers, providing mentorship, coaching, and career development support
- Set clear goals, conduct regular 1:1s, and lead performance reviews
- Foster a collaborative, inclusive, and high-performance team culture
- Partner with recruiting to grow the team as needed
Cross-Functional Collaboration
- Work closely with stakeholders across Marketing Technology, Analytics, and Engineering to align on priorities
- Represent Data Engineering in planning, budget, and roadmap discussions with senior stakeholders
- Own the DE support intake process (e.g., MOpsBot-routed requests) and ensure SLAs are met
- Translate business requirements from Marketing, Analytics, and Data Science stakeholders into technical execution plans
What We're Looking For
- 12+ years of data engineering experience, including significant time in cloud data warehouse/lakehouse architecture
- 6+ years of people management experience, ideally managing senior/staff-level engineers
- Deep proficiency in SQL and Python; strong grasp of dimensional modeling and warehouse design
- Hands-on experience with Snowflake and lakehouse table formats (Iceberg or similar); pipeline orchestration tools (Airflow, dbt, or similar)
- Experience integrating third-party marketing/ad platform data (e.g., Demandbase, Meta, Google Ads, LinkedIn) a strong plus
- Track record setting engineering standards and governance policy (access control, separation of duties) across teams
- Excellent stakeholder communication — comfortable driving alignment with both engineering and non-technical marketing leadership
- Based in or willing to relocate to Hyderabad
Nice To Have
- Experience in Marketing Technology or CRM data ecosystems
- Familiarity with Salesforce platform and Marketing Cloud data structures
- Experience working in a globally distributed team
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
be your best, and our AI agents accelerate your impact so you can
do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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.
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