LMTS Platform Engineer - Data Cloud Platform

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

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.

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. We continue our own Digital Transformation to deliver customer success and accelerate growth. A key pillar of this transformation is building a strong data foundation to support internal, cross-Enterprise data needs through intelligent data sets-as-a-service, leveraging our own, best-in-class, Data Cloud platform for internal, go-to-market needs.
We are seeking an experienced and committed Senior Software Engineer (LMTS) who will help deliver & support Salesforce's Enterprise Data Foundations within Salesforce Data Cloud, as part of our Data Platform Services organization. This LMTS will work closely with product management, data science, data visualization, and analyst teams by building Data Cloud architecture, environments, and supporting robust data pipelines. This role requires embracing full accountability for technical deliveries through all phases of the development life cycle-from code to test to production, delivering high quality, secure, and resilient applications.
The ideal candidate leverages a Platform Engineering mindset to design, build, and maintain foundational infrastructure and tools that standardize the development process and streamline efficiency. This role requires strong experience with data infrastructure, data architecture, ETL, SQL, automation, real-time data pipeline architecture, and data frameworks necessary to rapidly integrate disconnected and disparate data sources into automated datasets. The candidate must also possess a proven track record working with enterprise metrics and strong operational skills to drive speed, efficiency, and reliability.
Responsibilities
Salesforce Data Cloud Platform Engineering
Collaborate with stakeholders to define and refine Enterprise data strategies, focusing on gathering, managing, and activating data across all major Operating Units and Lifecycle Data Domains.
Design and develop platform Data Quality, Governance, Lifecycle processes, in alignment with control teams & service providers in our larger organization. Ensure all application code adheres to secure coding practices and internal BT standards.
Develop & enact feature certification frameworks, acting as subject matter expert for data, pipeline design, and other Data Cloud features, and as enablement lead for our direct customers, and enterprise at large.
Lead efforts in identifying and implementing automation to improve efficiency and reduce manual efforts, embodying platform engineering principles. Ensure all configuration changes are treated as code (Configuration as Code), checked into source control, and deployed in an automated and fully tested manner
Build and own automation and monitoring frameworks to showcase reliable, accurate, and easy-to-understand metrics and operational KPIs for data pipeline quality and performance.
Design and develop robust, highly scalable, and resilient Continuous Delivery systems.
Create and drive comprehensive automated test strategies and plans for Data Cloud projects and technical solutions, including unit tests, integration tests, functional tests, acceptance tests, performance tests, and security scans to ensure quality, performance, and reliability.
Automate and extend internal logging, monitoring, CI/CD, and incident management.
Proactively identify and resolve reliability and data quality problems.
Monitor, troubleshoot, and optimize Salesforce Data Cloud environments for performance, reliability, and scalability.
Capture & catalog Service Level Indicators (SLIs), define and manage Service Level Objectives (SLOs) and Service Level Agreements (SLAs) for data platform reliability and performance.
Act as the primary point of contact for major escalations related to platform reliability.
Support the launch and operational support of multiple Salesforce Orgs and Data Cloud tenants, including dependent features.
Participate in developing and executing disaster recovery plans with continuous monitoring and alerting.
Ensure seamless integration of Salesforce Data Cloud with other Salesforce products and third-party applications.
Support boundary Enterprise data platforms, including ingress/egress/zero-copy data connections with Amazon Web Services, Snowflake, out-of-box Connectors, and supported API endpoints.
Foster strong collaboration among globally distributed team members, leading by example in delivering high-quality features and providing technical leadership and guidance
Align in-Platform workstreams with larger Operational Excellence and Developer Excellence teams.
Minimum Qualifications
8+ years of relevant industry experience in platform-specific development, implementation, or support in an enterprise IT environment, emphasizing data engineering, monitoring, alerting, and visualization systems.
A related technical degree (Bachelor's or equivalent professional experience) is required.
Deep knowledge of object-oriented programming and other scripting languages, such as Java, Python, Scala, C#, Go, Node.JS, C++, C, or Shell.
Strong SQL skills and experience with relational and non-relational databases (e.g., Postgress/Trino/Redshift/Mongo/Snowflake). Proficiency in SOQL/SAQL and data modeling for analytics.
Proven experience designing and developing distributed systems at scale.
In depth experience of design patterns, data structures, algorithms, and concurrency.
Deep knowledge of cloud infrastructures (AWS, Azure, GCP).
Advanced expertise with observability and incident management tools such as Datadog, Splunk, Grafana, Tableau, New Relic, and PagerDuty.
Experience managing reliability and performance within the Salesforce ecosystem.
Proven ability in incident escalation and disaster recovery management.
Experience using telemetry and metrics to drive operational excellence in Continuous Delivery pipelines.
Experience with Agile development methodology and SCRUM/AGILE.
Strong relationship-building skills across technical and business teams.
Excellent verbal, written, and interpersonal communication skills.
Salesforce Certified Platform Developer I certification (or ability to achieve within 6 months).
Preferred Qualifications
Experience in Enterprise-scale environments, particularly with Salesforce Data Cloud (CDP), Heroku, and our Core Salesforce Platform.
Experience with configuration management tools (Ansible, Puppet, Chef) and log management (Elastic, Logstash, Kibana).
Experience with Continuous Delivery platforms and adopting Infrastructure as Code (IaC) principles, utilizing tools such as Kubernetes, Docker, Terraform, Jenkins, Git, Spinnaker, or Gearset
Deep hands-on experience in complex event-driven architectures and stream processing in a variety of technologies.
Hands-on experience with Streaming technologies like Kafka.
Understanding of data governance practices such as metadata management, data lineage, and data glossaries.
Experience with Big-Data/ML and S3.
Familiarity with Salesforce development technology stack like Flows and Apex.
Relevant industry certifications, including Salesforce Data Cloud Consultant/Architect, Salesforce Marketing Cloud Consultant, or Salesforce Certified Platform Developer II, and Salesforce Certified JavaScript Developer I.
Demonstrable understanding of data governance, security, and compliance (PII, GDPR, SOX).
Proven ability to design, configure, and support scalable CDP / Data Cloud platforms.
Knowledge of Tableau Cloud / Tableau Server administration (user provisioning, permissions, site management, governance).
Experience with Tableau Next features (Analytics Agent, Personal Org, Observability, Adoption dashboards, CI/CD for content promotion).

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.