Data 360 Frontline Engineer: Real‑World Deployments

Enboarder; Madrid; On-site; EUR 90,000 - 130,000; Full time

Job summary

Salesforce is seeking a Forward Deployed Engineer focused on Data 360 to deploy enterprise data solutions inside customer environments, configuring ingestion, modeling, identity, and activation.

You will work with architects and customer teams, writing SQL, Python, and Apex, ensuring security, testing, and scalable deployments across production sandboxes and live environments.

This hands-on role requires 5+ years, a CS degree, and experience with AI data pipelines and vector databases.

Qualifications

• 5+ years of experience in software engineering, data engineering, or technical implementation.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform.
• Experience building data pipelines and integrations using platforms like Snowflake, Databricks, BigQuery, Redshift, Kafka, or similar.
• Proficient in SQL and able to write multi-table queries, joins, and transformations.
• Fluent in at least one implementation language (Apex, Java, Python, or JavaScript/TypeScript).
• Knowledge of data modeling, APIs, integration patterns, batch and streaming processing.
• Experience building retrieval systems for AI using vector databases or knowledge bases.

Responsibilities

• Build ingestion, harmonization, and identity resolution across batch and streaming sources.
• Materialize views of data optimized for analytics and agent workloads.
• Create representative test data and validate outcomes across happy paths and edge cases.
• Ground the AI data integration layer with RAG, vector databases, and knowledge bases.
• Design and implement MCP and agent-to-agent communication protocols.
• Connect Data 360 to enterprise applications and enable secure agent interactions.
• Govern data transformations, security, and governance within Salesforce ecosystem.
• Address performance, latency, and reliability in production deployments.
• Document architectural decisions and hand off to architects and customer teams.
• Collaborate with customers and partners to accelerate implementation and value delivery.

Skills

5+ years experience

SQL proficiency

Apex/Java/Python/JS/TS

Data pipelines & integrations

Data modeling

Security & IAM

AI retrieval systems

Education

Bachelor's degree in Computer Science or equivalent

Tools

Snowflake

Databricks

BigQuery

Redshift

Kafka

Cloud storage

MDM platform

Job description

Salesforce is seeking a Forward Deployed Engineer focused on Data 360 to deploy enterprise data solutions inside customer environments, configuring ingestion, modeling, identity, and activation.

You will work with architects and customer teams, writing SQL, Python, and Apex, ensuring security, testing, and scalable deployments across production sandboxes and live environments.

This hands-on role requires 5+ years, a CS degree, and experience with AI data pipelines and vector databases.