Data 360 - Lead/ Principal Forward Deployed Engineer
Informatica1 month ago
Dubai, United Arab EmiratesStaff+
Responsibilities
- Build and deploy Data 360 solutions in customer sandboxes and production environments using configuration, SQL, Apex, Flow, Python, APIs, Salesforce DX, CLI, Git, Data Kits, and deployment tooling.
- Engineer ingestion, harmonization, identity resolution, data modeling, batch and streaming pipelines, and workload-optimized data views across enterprise sources.
- Design and maintain RAG, vector database, search index, embedding, and knowledge-base integrations that ground Agentforce in enterprise data.
- Implement MCP and agent-to-agent communication protocols and connect Agentforce with enterprise applications and AI agents.
- Apply secure authentication, authorization, data governance, permissions, entitlements, consent, and user-context controls using OAuth, SAML, and related integration patterns.
- Create representative test data and validate happy paths, edge cases, access boundaries, failures, hierarchy behavior, and customer-scale volumes.
- Troubleshoot ingestion, mapping, schema, identity, query, activation, API, permission, and consumption issues using logs and query evidence.
- Document implementation decisions, measured tradeoffs, reusable metadata, scripts, queries, tests, runbooks, known limitations, and production handoff procedures.
- Work alongside architects, deployment strategists, Agentforce engineers, account teams, partners, and customer technical teams through pairing, reviews, deployment, and stabilization.
- Surface reproducible platform gaps and edge cases to Product and Support with evidence and expected behavior.
Requirements
- 8+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution that can be explained in detail.
- 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 across ingestion, modeling, identity, insights, activation, and operations.
- Hands-on experience building data pipelines and integrations with an enterprise data platform or technology such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
- Proficiency in SQL, including multi-table queries, joins, filters, transformations, optimization, and validation checks.
- Fluency in at least one enterprise implementation language such as Apex, Java, Python, or JavaScript/TypeScript, with willingness to learn others.
- Understanding of data modeling, APIs, integration patterns, batch and streaming processing, and copied, federated, and Zero Copy data access.
- Experience building AI retrieval systems such as vector databases, search indexes, embedding pipelines, or knowledge bases, including design decisions for chunking, indexing, and relevance.
- Experience implementing secure service-to-service integrations using OAuth, SAML, and event-driven architectures, plus familiarity with MCP and agent-to-agent communication.
- Ability to implement and rigorously test secure data access, permissions, entitlements, consent, user context, restricted populations, and negative test cases.
- Ability to diagnose technical problems methodically, isolate product behavior from configuration errors, and document reproducible results.
- Ability to implement against documented architectures, explain solutions to customer technical teams, and identify when architect or security-owner involvement is required.
- Experience delivering alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments.
- Relevant Salesforce Agentforce, Data 360, and Salesforce Platform certifications are expected or beneficial.
Benefits
- Salesforce states that its benefits and resources support balance and employee well-being.
- Salesforce provides reasonable accommodation during the application or recruiting process.
- Salesforce is an equal opportunity employer with an inclusive, non-discriminatory workplace.
Tech Stack
Categories
Forward Deployed
About Informatica
Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, Informatica’s Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica’s platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by approximately 5,000 customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation. Informatica. Where data and AI come to life.™ Contact: PR@informatica.com