Director, Data Engineering

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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

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