Salesforce is looking for exceptional Lead Engineers to build the engine that powers Salesforce's enterprise intelligence by modernizing its core data ecosystem. This involves moving beyond simple ETL scripts to build a robust, software-defined Data Mesh and bridging the gap between Data Engineering and Software Engineering.
Requirements
- Strong background in software engineering (Python/Java/Go) applied to data. You are 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.
- Familiarity with Graph Databases ( Neo4j ) or Semantic Standards (RDF/SPARQL, TopQuadrant) is a strong plus as we integrate these technologies into the platform.
- Experience with Apache Iceberg or Delta Lake.
Responsibilities
- 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.
- Engineer robust workflows in Airflow. Write custom Python operators and ensure DAGs are dynamic, factory-generated, and resilient to failure.
- Own the performance of your datasets. Deep dive into query profiles, optimize pruning/clustering in Snowflake, and reduce credit consumption while improving data freshness.
- Manage the underlying platform infrastructure (warehouses, roles, storage integration) using Terraform or Helm. Click-ops is not an option.
- Enforce a strict "DataOps" culture. Ensure every PR has unit tests, schema validation, and automated deployment pipelines.
- Build monitoring and alerting (Monte Carlo, Grafana, Newrelic, Splunk) to detect data anomalies before stakeholders do.
- Work with domain teams (Sales, Marketing, Finance) to onboard them to the platform, helping them decentralize their data ownership while adhering to platform standards.
Other
- 8+ years of experience, with a proven track record of leading technical projects or small teams.
- You proactively identify problems (e.g., "Our ingestion pattern won't scale 10x") and design the architectural solution.
- You lead the technical direction for a squad.
- You own entire subsystems or domain architectures.
- You are the "Tech Lead" for a group of engineers, driving technical consensus, RFCs, and coordinating cross-team dependencies.
