salesforce.com, inc.
Senior Software Engineer, Data Platform
salesforce.com, inc., San Francisco, California, United States, 94199
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.
Key Responsibilities
Build & Ship: Design and implement scalable data pipelines and transformation logic using Snowflake and dbt. Replace legacy hardcoded scripts with modular, testable, reusable data components. Orchestration: Engineer robust workflows in Airflow. Write custom Python operators and ensure DAGs are dynamic, factory-generated, and resilient to failure. Performance Tuning: Own the performance of your datasets. Deep dive into query profiles, optimize pruning/clustering in Snowflake, and reduce credit consumption while improving data freshness. Infrastructure as Code: Manage the underlying platform infrastructure (warehouses, roles, storage integration) using Terraform or Helm. CI/CD & Quality: Enforce a strict “DataOps” culture. Ensure every PR has unit tests, schema validation, and automated deployment pipelines. Reliability (SRE): Build monitoring and alerting (Monte Carlo, Grafana, New Relic, Splunk) to detect data anomalies before stakeholders do. Data Mesh Implementation: Work with domain teams (Sales, Marketing, Finance) to onboard them to the platform, helping them decentralize their data ownership while adhering to platform standards. AI Readiness: Prepare structured data for AI consumption, ensuring high-quality, governed datasets are available for LLM agents and advanced analytics models. Execution & Component Ownership: You are given a problem (e.g., “Migrate this domain to dbt,” “Optimize this slow pipeline”) and you solve it with high‑quality, clean code with minimal supervision. Mentor Junior Engineers: Own features and specific pipelines. Mentor junior engineers on code reviews and best practices.
Core Qualifications
Engineering Roots: Strong background in software engineering (Python/Java/Go) applied to data. Comfortable writing custom API integrations and complex Python scripts. The Modern Stack: Deep production experience with Snowflake (architecture/tuning) and dbt (Jinja/Macros/Modeling). Workflow Orchestration: Advanced proficiency with Airflow (Managed Workflows for Apache Airflow). Cloud Native: Hands‑on experience with AWS services (S3, Lambda, IAM, ECS) and containerization (Docker/Kubernetes). DevOps Mindset: Experience with Git, CI/CD (GitHub Actions/Jenkins), and Terraform.
Experience Requirements
5+ years of relevant data or software engineering experience.
Nice to Have
Knowledge Graph Experience: Familiarity with Graph Databases (Neo4j) or Semantic Standards (RDF/SPARQL, TopQuadrant). Open Table Formats: Experience with Apache Iceberg or Delta Lake. Streaming: Experience with Kafka or Snowpipe Streaming. AI Integration: Experience using AI coding assistants (Copilot, Cursor) to accelerate development.
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.
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. 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.
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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.
Key Responsibilities
Build & Ship: Design and implement scalable data pipelines and transformation logic using Snowflake and dbt. Replace legacy hardcoded scripts with modular, testable, reusable data components. Orchestration: Engineer robust workflows in Airflow. Write custom Python operators and ensure DAGs are dynamic, factory-generated, and resilient to failure. Performance Tuning: Own the performance of your datasets. Deep dive into query profiles, optimize pruning/clustering in Snowflake, and reduce credit consumption while improving data freshness. Infrastructure as Code: Manage the underlying platform infrastructure (warehouses, roles, storage integration) using Terraform or Helm. CI/CD & Quality: Enforce a strict “DataOps” culture. Ensure every PR has unit tests, schema validation, and automated deployment pipelines. Reliability (SRE): Build monitoring and alerting (Monte Carlo, Grafana, New Relic, Splunk) to detect data anomalies before stakeholders do. Data Mesh Implementation: Work with domain teams (Sales, Marketing, Finance) to onboard them to the platform, helping them decentralize their data ownership while adhering to platform standards. AI Readiness: Prepare structured data for AI consumption, ensuring high-quality, governed datasets are available for LLM agents and advanced analytics models. Execution & Component Ownership: You are given a problem (e.g., “Migrate this domain to dbt,” “Optimize this slow pipeline”) and you solve it with high‑quality, clean code with minimal supervision. Mentor Junior Engineers: Own features and specific pipelines. Mentor junior engineers on code reviews and best practices.
Core Qualifications
Engineering Roots: Strong background in software engineering (Python/Java/Go) applied to data. Comfortable writing custom API integrations and complex Python scripts. The Modern Stack: Deep production experience with Snowflake (architecture/tuning) and dbt (Jinja/Macros/Modeling). Workflow Orchestration: Advanced proficiency with Airflow (Managed Workflows for Apache Airflow). Cloud Native: Hands‑on experience with AWS services (S3, Lambda, IAM, ECS) and containerization (Docker/Kubernetes). DevOps Mindset: Experience with Git, CI/CD (GitHub Actions/Jenkins), and Terraform.
Experience Requirements
5+ years of relevant data or software engineering experience.
Nice to Have
Knowledge Graph Experience: Familiarity with Graph Databases (Neo4j) or Semantic Standards (RDF/SPARQL, TopQuadrant). Open Table Formats: Experience with Apache Iceberg or Delta Lake. Streaming: Experience with Kafka or Snowpipe Streaming. AI Integration: Experience using AI coding assistants (Copilot, Cursor) to accelerate development.
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.
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. 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.
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