Senior Data Engineer
Salesforce INC · 🌍 India - Hyderabad
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About the role
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. Senior Data Engineer — Marketing Operations About the Role As a Senior Data Engineer on the Marketing Operations team, you'll work cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You'll partner with the Business Analytics Data Engineering function to build a data foundation and processes that scale with company growth — architecting, designing, and implementing data pipelines that deliver insights from Product and Corporate Systems to key partners, data scientists, and decision-makers across Sales, Customer Success, Marketing, and Finance at Slack. This role suits problem solvers who anticipate issues before they surface and look beyond immediate fixes. We're looking for self-starters who take pride in their craft, are detail- and quality-oriented, and are passionate about making a real impact at Slack. Responsibilities • Design, implement, and build pipelines that deliver data with measurable quality under SLA. • Assemble complex, large data sets that meet functional requirements. • Partner with data architects, domain experts, data analysts, and other teams to build trusted, well-understood foundations aligned with business strategy that enable self-service. • Champion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies. • Own and document data pipelines and data lineage. • Identify, document, and promote best practices. • Support and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools). Requirements • 8+ years of experience in data management — data integration, modeling, optimization, data quality, or related data engineering areas. • 4+ years working in cross-functional teams, collaborating with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives involving product and business system data. • Solid experience working with Sales, Finance, and product usage data. • Expertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines. • Deep understanding of both relational and big data systems. • Strong problem-solving and interpersonal skills, with the ability to make sound, complex decisions in a fast-paced technical environment. • Ability to work across multiple areas: pipeline ETL, data modeling & design, and complex SQL. • Excellent written and verbal communication, able to collaborate with both technical and business partners. • Strong grasp of trade-offs and the ability to navigate between big-picture strategy and implementation detail. Preferred • Prior experience with Airflow. • Hands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark). • Proficiency in Python or similar programming languages. • Passion for data technologies broadly — SQL, NoSQL, MPP databases, etc