Principal Agentic Data Systems Engineer

RTL2 Fernsehen GmbH & Co. KG; Ciudad de México; Presencial; MXN 1.575.079 - 2.100.105; Jornada completa

Descripción de la vacante

Salesforce is looking for a Principal Agentic Data Systems Engineer in Mexico City, offering a hybrid work model. The successful candidate will architect and manage a high-performing digital workforce made of autonomous agents, ensuring data tasks are executed efficiently. Applicants should have over 7 years of experience in Data Engineering, a strong background in Python and SQL, and expertise in generative AI. The role emphasizes innovative solutions that redefine data management within the company culture.

Formación

• 7+ years of experience in Data Engineering, Architecture, or Data Science.
• Expert-level proficiency in Python and SQL.
• History of using generative AI to boost productivity.

Responsabilidades

• Architect and maintain ecosystems of autonomous agents for data tasks.
• Transform high-level business requirements into data products autonomously.
• Ensure high governance standards for deployed tools.

Conocimientos

Python

SQL

AI-native development environments

Apache Spark

Docker

Kubernetes

Herramientas

dbt

Airflow

Snowflake

Descripción del empleo

Job Category

Software Engineering

Job Details

Principal Agentic Data Systems Engineer – Mexico City | Hybrid

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.

Department Overview

The Enterprise Data & AI Solutions group is the organization's strategic hub for cognitive automation. We move beyond traditional data management to build the autonomous engines that power executive decision‑making.

Role Description: From Execution to Orchestration

We are seeking a Principal Agentic Data Systems Engineer, a technical visionary who has mastered traditional data engineering and is now focused on the next frontier: Agentic Force Multiplication.

In this position, you shift from being a traditional individual contributor to a Human‑in‑the‑Loop (HITL) Orchestrator. You will serve as the primary architect of a high‑performing digital workforce, acting as a "Team of One" that achieves the output equivalent of a 3‑5 person engineering squad. Your value lies not in manual coding, but in the high‑level design and supervision of autonomous agents that execute engineering, QA, governance, and analytics workflows on your behalf.

The Strategic Shift: You are redefining the data team model. Instead of managing human personnel, you manage complex "hand‑off" protocols between specialized AI agents, acting as the central anchor for a hybrid human‑agent intelligence unit.

Core Responsibilities

• Architect and maintain a private ecosystem of 10+ autonomous agents specialized in ETL, synthetic data generation, automated QA, and predictive modeling.
• Design multi‑step reasoning architectures and verification protocols to ensure agents autonomously validate and peer‑review their own outputs.
• Transform high‑level, ambiguous business requirements into production‑ready data products independently, bypassing the need for mid‑level project management.
• Use domain knowledge to ensure deployed tools are well governed. Governance as code for data pipelines and Agentic development. Context aware Agent development.
• Develop and maintain Model Context Protocol (MCP) servers to provide agents with secure, deep‑link access to Snowflake, Salesforce, AWS, and proprietary internal data catalogs.

Technical Profile

• Production‑grade proficiency in Python, dbt, Airflow, and advanced SQL. Apache Spark, and Snowflake.
• Fluency in AI‑native development environments (e.g., Cursor, Codex, or Claude Code). Expert in Prompt Engineering. Mastery of agentic frameworks such as LangGraph. Leverage MCP servers to retrieve data from tool stack.
• Expert‑level knowledge of chain‑of‑thought prompting, self‑correction loops, and iterative reasoning paths.
• Salesforce Core and Data 360 understanding.
• Advanced understanding of Data Mesh, Data‑as‑a‑Product (DaaP), and Event‑Driven Architectures. Semantic layer. Knowledge Graphs.
• Experience using agentic workloads via Docker, Kubernetes, and serverless compute environments.

Qualifications

• 7+ years of experience in high‑stakes Data Engineering, Architecture, or Data Science.
• Senior experience with Python & SQL.
• Documented history of using generative AI to accelerate personal and departmental output by orders of magnitude.
• Ability to function as a "Domain Data Officer," managing end‑to‑end data strategy for a business unit with minimal supervision.
• Superior analytical judgment – the ability to identify subtle logic errors or hallucinations in agentic output before they reach production.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, 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. 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. The policy 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.