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