Salesforce · 20 hours ago
Senior Software Engineer, Data Platform
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. They are looking for exceptional Senior Engineers to build the engine that powers Salesforce’s enterprise intelligence, modernizing the core data ecosystem and bridging the gap between Data Engineering and Software Engineering.
Artificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
Build & Ship: Design and implement scalable data pipelines and transformation logic using Snowflake (SQL) and dbt. Replace legacy hardcoded scripts with modular, testable, and 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. Click-ops is not an option
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, Newrelic, 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
Focus: 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
Scope: You own features and specific pipelines. You mentor junior engineers on code reviews and best practices
Qualification
Required
Strong background in software engineering (Python/Java/Go) applied to data
Comfortable writing custom API integrations and complex Python scripts
Deep production experience with Snowflake (architecture/tuning) and dbt (Jinja/Macros/Modeling)
Advanced proficiency with Airflow (Managed Workflows for Apache Airflow)
Hands-on experience with AWS services (S3, Lambda, IAM, ECS) and containerization (Docker/Kubernetes)
Experience with Git, CI/CD (GitHub Actions/Jenkins), and Terraform
5+ years of relevant data or software engineering experience
Preferred
Familiarity with Graph Databases (Neo4j) or Semantic Standards (RDF/SPARQL, TopQuadrant)
Experience with Apache Iceberg or Delta Lake
Experience with Kafka or Snowpipe Streaming
Experience using AI coding assistants (Copilot, Cursor) to accelerate development
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Recent News
Business Insider
2026-01-01
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2025-12-30
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