Lead Data Engineer

4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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: 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. Lead Data Engineer Data Analytics Specialist Mexico City | Mex Hybrid Role Overview Lead the design and delivery of scalable data solutions that power business insights and innovation. Drive architecture, quality, and process excellence across batch and real-time data systems while mentoring a high-performing engineering team. What You'll Do Lead end-to-end solution design for data products integrating batch and streaming pipelines. Define and evolve solution architecture to deliver reliable, scalable, and consistent data insights. Enhance data quality through proactive issue detection and source-level validation. Optimize workflows and resources to maximize efficiency and performance. Set engineering standards—advocate best practices, automation, and code quality. Drive continuous improvement of shared data platform tools, processes, and methodologies. Architect, build, and maintain automated, scalable pipelines using dbt, Snowflake, Informatica, and Airflow. Unify and calibrate data from multiple sources to ensure accuracy and consistency. Collaborate cross-functionally with data ingestion, platform, and product teams on instrumentation and data flow. Develop and maintain robust datasets supporting modeling, analytics, and production use cases. Integrate emerging technologies to strengthen data management and engineering capabilities. Support data analysis and QA, ensuring ongoing integrity and reliability. Mentor and guide engineers, fostering growth and technical excellence. Apply deep technical acumen to solve complex business challenges through innovative solutions. Desired Skills & Experience Proven expertise in handling large data environments for over 8 years, utilizing modern data stack tools such as dbt, Snowflake, Informatica, and Apache Airflow. Strong background in data modeling, ETL/ELT design, and building scalable, automated data pipelines. Experience with Data Analytics and Data Curation. Hands‑on experience architecting and maintaining cloud-based data platforms with a focus on performance, reliability, and cost efficiency. Deep understanding of data quality, governance, and observability to ensure trusted, consistent insights. Skilled in SQL and Python, with experience in version control, CI/CD, and workflow automation. Demonstrated ability to integrate batch and real‑time data processes across diverse systems and sources. Experience leading data engineering teams, setting technical direction, and fostering best practices in design, testing, and deployment. Strong collaboration skills, with the ability to partner effectively across product, analytics, and platform teams. Passion for continuous improvement, innovation, and enabling data‑driven business outcomes. 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 require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. 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. Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at Salesforce by 2x Get notified about new Data Engineer jobs in Mexico City, Mexico. #J-18808-Ljbffr