Description

About the Role

We are seeking a highly accomplished data technologist to join our Forward Deployed Engineering Team as Manager, Forward Deployed Engineer — Data 360. This role represents the pinnacle of data platform expertise, focusing on architecting, designing, and building the most complex and sophisticated data solutions to solve our customers' most difficult challenges. You will be the technical conscience and thought leader, translating ambiguous customer data needs into concrete, executable Data 360 solutions.

Combines people leadership, data architecture governance, operational excellence, and strategic growth ownership.

You will drive transformative data solutions by tackling the technical frontier of intelligent data unification, activation, and AI-grounding. You will build first-of-their-kind, best-in-class data experiences for the world's biggest brands — including enterprise-scale unified data platforms, real-time activation pipelines, AI-ready data foundations, and complex multi-cloud data integration solutions. This demands unparalleled data engineering mastery, deep platform architecture skills, and a relentless focus on engineering best practices — delivering maximum tangible value in dynamic, real-world enterprise environments.

Your Impact

Define Data Architecture: Design, architect, and hands-on develop the most complex and bespoke Data 360 solutions — leveraging the full power of the platform and integrating with enterprise data estates to solve critical customer data challenges
Build and Deploy Data Pipelines: Apply extensive hands-on experience to integrate data from external platforms (Snowflake, BigQuery, AWS S3), implement Batch Data Transforms, calculated insights, and real-time activation pipelines using Data 360
Lead Engineering Best Practices: Master the Data 360 development process, culture, and platform architecture — define, improve, and enforce engineering best practices for data quality, scalability, governance, and security across all deployed solutions
Drive Platform Customisation: Utilise significant direct experience with Salesforce Data 360 to perform advanced configuration, data modeling, and complex development necessary to support and integrate data solutions across clouds
Develop Data & Integration Solutions: Design strategic data models — DMOs, DLOs, calculated insights — and build efficient ingestion and transform pipelines to ensure data is ready, optimised, and secure for advanced AI and activation use cases
Proactively Remove Technical Blockers: Identify, analyse, and directly resolve the most complex technical challenges during all phases of solution delivery — serving as the ultimate expert for advanced data orchestration, identity resolution failures, and intricate integration issues
Drive Data 360 Innovation: Become the foremost expert in the Data 360 platform — leading development of custom data solutions and influencing future product enhancements based on deep field insights
Undertake Continuous Learning: Maintain expertise in the latest data platform advancements, AI grounding patterns, and CDP/MDM evolution — proactively integrating knowledge for product and process innovation

Required Qualifications

9+ years of experience in enterprise data engineering, data architecture, or technology consulting
3+ years of experience managing engineers, architects, or technical consulting teams
Translate business requirements into scalable data architecture, solution blueprints, and phased implementation roadmaps
Deep hands-on expertise in Salesforce Data 360 — including data ingestion, identity resolution, data modeling (DMO/DLO), calculated insights, segmentation, and activation
Strong hands-on experience with Batch Data Transforms (BDTs), streaming ingestion, and zero-copy integrations with external data platforms (Snowflake, BigQuery, AWS)
Design robust data models, object relationships, and enterprise data structures to support scalability, reporting, and governance
Establish enterprise data governance frameworks: data quality, enrichment, privacy, retention, consent management, and GDPR/CCPA compliance
Design and govern enterprise integration architectures using REST/GraphQL APIs, event-driven patterns, and middleware platforms; integrate Data 360 with ERP, Marketing Automation, and cloud data platforms
Architect large data volume (LDV) solutions including indexing, archiving, performance tuning, and platform-limit-aware patterns
Lead architecture risk assessments, data performance impact analysis, and serve as escalation authority for complex data issues
Lead Architecture Review Boards and provide design approvals for enterprise data initiatives
Facilitate discovery workshops, solution envisioning sessions, and technical design reviews with customer stakeholders
Data 360 delivery: Experience in at least 2 end-to-end Data 360 implementations with involvement in discovery, solution design, implementation, rollout, and defining the customer roadmap
Hands-on working knowledge across Data 360 capabilities including: data ingestion & unification, identity resolution, calculated insights, segmentation, activation, data sharing, and AI grounding
Expertise supporting data pipeline deployment, testing, and release management — including data quality validation, grounding validation, and regression testing across environments
Expertise in troubleshooting data platform behaviours including ingestion failures, identity resolution mismatches, transform errors, and activation pipeline gaps
Experience with monitoring data platform performance and optimising pipeline quality based on usage analytics and customer feedback
Strong stakeholder communication skills — ability to present data architecture and trade-offs to senior technical and business audiences
Strong problem-solving skills including troubleshooting complex multi-system data failures and driving root cause analysis
Certifications (Required): Salesforce Data 360 Consultant, Salesforce Agentforce Specialist, Platform Developer I
Certifications (Preferred): Salesforce Application Architect or System Architect, Platform Developer II, Marketing Cloud Consultant
Work Location: Hybrid

Consulting & Client Engagement Skills

Own executive client relationships and data transformation conversations
Lead strategic data platform modernisation and AI-readiness discussions
Drive account expansion and growth strategy through Data 360 outcomes
Represent delivery in executive steering forums
Align data programs to business value realization
Executive presence and leadership maturity
Strong decision-making and judgment in ambiguous, high-stakes environments
Organisational influence and stakeholder management
Coaching and talent development mindset
Conflict resolution and negotiation skills

Preferred Qualifications

Prior experience in a forward deployed engineering, solutions engineering, or embedded technical advisory role
Experience with multi-cloud delivery — Data 360 + Agentforce + Marketing Cloud + MuleSoft
Familiarity with cloud data platforms such as Snowflake, Databricks, Google BigQuery, or AWS Redshift and integration patterns with Salesforce Data 360
Deep expertise in enterprise data architecture — identity resolution, consent management, data privacy, and zero-copy integration frameworks
Proficiency in one or more programming languages (Python, SQL, Apex, or Java)
Experience with product telemetry and observability analysis to identify data platform patterns and surface actionable insights
High agency, self-motivation, and agility quotient — you thrive in ambiguous, high-stakes environments, operate without a playbook, and default to experimentation and fast iteration