Senior Member of Technical Staff Platform Engineer, Salesforce
Data Cloud Platform
$172-236.5k
+ Employee stock purchasing program
SQL
MongoDB
AWS
Docker
Kubernetes
GCP
JavaScript
Python
Tableau
C#
Scala
Java
Kafka
Go
Node.js
Postgres
Heroku
Terraform
Kibana
Splunk
Salesforce
C++
C
Jenkins
Ansible
Azure
Puppet
Chef
Redshift
Grafana
Snowflake
Logstash
Spinnaker
Git
Next
Datadog
Senior and Expert level
San Francisco Bay Area
World's leading CRM provider
Be an early applicant
World's leading CRM provider
1001+ employees
B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales
Be an early applicant
$172-236.5k
+ Employee stock purchasing program
SQL
MongoDB
AWS
Docker
Kubernetes
GCP
JavaScript
Python
Tableau
C#
Scala
Java
Kafka
Go
Node.js
Postgres
Heroku
Terraform
Kibana
Splunk
Salesforce
C++
C
Jenkins
Ansible
Azure
Puppet
Chef
Redshift
Grafana
Snowflake
Logstash
Spinnaker
Git
Next
Datadog
Senior and Expert level
San Francisco Bay Area
1001+ employees
B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- 6+ 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 (Revised from 8+ years for L7)
- 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 contributing to the design and development of 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 promotio
What the job involves
- We are seeking an experienced and committed Senior Member of Technical Staff (SMTS) who will help deliver & support Salesforce’s Enterprise Data Foundations within Salesforce Data Cloud, as part of our Data Platform Services organization
- This SMTS 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
- 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
- Deliver work as a developer, reviewer, and tester of features of medium complexity, from design to execution
- Independently deliver high-quality features by being a high-performing hybrid Engineer
- Design and develop platform Data Quality, Governance, and Lifecycle processes. Ensure all application code adheres to secure coding practices and internal BT standards
- Contribute to feature certification frameworks, acting as subject matter expert for data, pipeline design, and other Data Cloud features
- Contribute to identifying and implementing automation to improve efficiency and reduce manual efforts. Ensure all configuration changes are treated as code (Configuration as Code), checked into source control, and deployed in an automated and fully tested manner
- Develop technical designs, drive your own designs, and take on features with greater complexity. Solve implementation problems and make design decisions
- Develop stories, data mappings, test cases, and success criteria which inform development
- Contribute to the automation and monitoring frameworks to showcase reliable, accurate, and easy-to-understand metrics and operational KPIs for data pipeline quality and performance
- Contribute to the design and development of robust, highly scalable, and resilient Continuous Delivery systems
- Implement comprehensive automated test plans for Data Cloud solutions, including unit tests, integration tests, functional tests, acceptance tests, performance tests, and smoke tests
- 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 Service Level Indicators (SLIs) and adhere to defined Service Level Objectives (SLOs) and Service Level Agreements (SLAs) for data platform reliability and performance
- Assist in complex incident escalation and resolution 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, providing technical mentorship and guidance
- Align in-Platform workstreams with larger Operational Excellence and Developer Excellence teams
- Responsible for aiding in the fulfillment of at least one measure on your Manager's V2MOM
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
Top investors
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
SoMa, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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