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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.

Are you a data-savvy engineer who excels at transforming complex technical data into clear, actionable insights? Do you want to build the analytics backbone that will guide our entire engineering strategy?

Our Engineering Excellence team is redefining how software is built, tested, and delivered across the enterprise. As the data and analytics lead on this team, you will own the critical mission of turning the data generated by our new engineering platforms into a compelling, strategic narrative. You will design and build the dashboards that our developers, architects, and executive leaders will use every day to make data-driven decisions.

This is a high-visibility role for a technically strong, collaborative, and product-focused individual. We are looking for a strategic partner who can spar on data visualization, independently drive our analytics strategy, and tell the story of our engineering organization's health and velocity in a way that resonates with everyone.

What You'll Be Doing

Own the Analytics Vision: You will be the primary owner of our engineering analytics. You'll design, build, and maintain a suite of powerful, intuitive dashboards in Tableau that visualize key metrics related to engineering velocity, software quality, and operational health.
Tell the Story with Data: Translate complex system and process data into clear, compelling visual stories that guide team priorities and inform leadership on strategic opportunities.
Build the Data Foundation: You will be given access to our core data sources and be expected to independently architect and implement the data pipelines required for analysis. This includes defining data models and building robust ETL processes to feed our analytics platforms.
Lead and Influence: Confidently present your dashboards and findings to product leads, engineering directors, and VPs. You will be expected to answer challenging questions, logically defend your visualization choices, and act as the subject matter expert on engineering intelligence.
Be a Strategic Partner: Act as a key sparring partner to the Director of Engineering Excellence. You will proactively identify trends, propose new metrics, and help define what a healthy, high-velocity engineering culture looks like through data.

Required Skills & Experience

Tableau Mastery: Expert-level, hands-on proficiency in Tableau is a must. This includes everything from data source optimization and complex calculations to designing visually stunning and highly performant dashboards.
Expert ETL and Data Pipeline Development: Proven, hands-on experience designing, building, and maintaining robust ETL/ELT pipelines is mandatory. You must be proficient with enterprise-grade ETL tools (e.g., Informatica, Talend, Airflow) and able to independently connect to diverse data sources.
Technical Acumen: A solid background in software development is required, with strong proficiency in Python for data manipulation, scripting, and automation.
Strong SQL Foundation: Deep expertise in writing complex, efficient SQL to query and manipulate large, intricate datasets.
Cloud Proficiency (AWS): Hands-on experience building and deploying data solutions on cloud platforms, particularly AWS. You should be comfortable with core services like S3, IAM, Glue, or Lambda for data processing and storage.
Exceptional Communication: Proven ability to present complex data to diverse audiences. You are a clear, logical communicator who is comfortable in a room with senior leadership.
Product & User Focus: A strong ability to think from a user's perspective, whether that user is an engineer trying to fix a bug or an executive assessing risk.

Desired Skills

Salesforce Platform Knowledge: An understanding of the Salesforce platform, its metadata, and common development patterns is a significant asset that will help you understand the context of the data.
Cloud Data Warehousing: Hands-on experience with cloud data platforms like Snowflake.
Java Familiarity: familiarity with the language is a plus.
Statistical Analysis: Experience with basic statistical concepts and their application in data analysis.

Growth & Impact

This is more than a data role; you are the storyteller for Engineering Excellence. Your work will directly shape how our engineering leaders view and measure success, from individual team velocity to org-wide system health. You'll have high visibility with senior leadership, and your insights will be a critical input for our strategic planning.

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.

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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.

Software Engineer SMTS - Data & Analytics

Job Description