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Lead Data Engineer - Data Analytics Specialist

Salesforce

Lead Data Engineer - Data Analytics Specialist

Salesforce

Mexico City, Mexico

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental leave

Flexible work arrangements

Healthcare

Parental Leave

Flexible Hours

Required Skills

TypeScript

PostgreSQL

React

About Us

Salesforce brings companies and customers together in the number one Customer Relationship Management platform.

Size: 10000+ employees
Industry: Technology

View Company Profile

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 and Tools)
Hands-on experience architecting and maintaining cloud-based data platforms with a focus on performance, reliability, and cost efficiency.

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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.

AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce 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.

Client-provided location(s): Mexico City, Mexico

Job ID: Salesforce-JR315825

Employment Type: FULL_TIME

Posted: 2025-10-28T20:16:54
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Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Adoption Leave
  • Return-to-Work Program
  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Happy Hours
  • Snacks
  • Some Meals Provided
  • Company Outings

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • 401(K) With Company Matching
  • Company Equity
  • Stock Purchase Program
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling

Professional Development

  • Tuition Reimbursement
  • Learning and Development Stipend
  • Promote From Within
  • Mentor Program
  • Shadowing Opportunities
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Leadership Training Program
  • Professional Coaching
  • Work Visa Sponsorship

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Unconscious Bias Training
  • Diversity, Equity, and Inclusion Program

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About Salesforce

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

Employees

San Francisco

Headquarters

$243B

Valuation

Reviews

4.0

16 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Competitive compensation packages

Remote work flexibility

Good benefits (headphone/internet reimbursement)

Cons

Ongoing layoffs and job insecurity

Poor refresher/yearly stock grants

Condescending interview processes

Salary Ranges

45 data points

Mid/L4

Senior/L5

Mid/L4 · Analyst Business Intelligence

1 reports

$156,823

total / year

Base

$120,633

Stock

-

Bonus

-

$156,823

$156,823

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Offer Rate

20%

Experience

Positive 20%

Neutral 20%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview Panel

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience