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Role: Forward Deploy Engineer Location: Remote (US) This role involves regular travel to client sites within the US, typically 25–40% of the time. Working at the intersection of data engineering, marketing technology, and enterprise account management, you will be responsible for onboarding enterprise clients onto Ometria's agentic intelligence product, ΛTLΛS. This will range from identifying and connecting data sources through to training clients and ensuring the platform delivers ongoing value. You will act as a trusted technical partner for our clients, guiding them through data integration, validation, alerting, and documentation strategies. This is a deeply hands-on role that requires both strong technical capability and the ability to communicate clearly with enterprise stakeholders. You'll be part of a team of strategic retail marketing experts empowering leading enterprise businesses to harness the power of AI-driven intelligence. Who are we? Ometria is a client Data and Experience Platform built for retail marketers to be the fastest route to sustainable growth. Ometria helps marketers plan and launch their most profitable campaigns twice as fast, increasing their client loyalty and CRM revenue with personalized marketing messages all throughout the client journey. Our platform combines the data unification and client insight of a CDP with an experience platform, letting retail marketers easily and efficiently create experiences their clients love across email, mobile, on-site, social, direct mail and more. Ometria is trusted by some of the fastest growing retail brands in the world such as Sephora, Boden, and Steve Madden. We have a team of over 120 Ometrians based in North America and Europe. We have raised $75m from leading venture capital funds across the world such as Infravia Capital Partners, Octopus Ventures, Summit Action, Sonae IM and many others. Key Outcome A successful onboarding is a client who is delighted with ΛTLΛS and has proven ROI from it. This is how you will be measured. Everything below is how we get there. Sub-outcomes Successful client onboarding Every enterprise client is fully onboarded onto ΛTLΛS, with data sources identified, connected, and validated within agreed timelines. Clients understand their data landscape within the platform and are equipped to use it effectively from day one. Data integrity and platform reliability Platform inputs and outputs are continuously monitored, with alerts addressed promptly to maintain data integrity and client confidence. Clients have robust QA and validation strategies in place, co-developed with their internal teams. client enablement and self-sufficiency Clients are trained and confident in using ΛTLΛS, reducing day-to-day dependency on Ometria. Clients have custom connectors, integrations, and documentation strategies that are maintained and scalable. Trusted technical partnership Clients see you as a trusted technical advisor, with strong relationships across their QA, data, marketing, and technology teams. Positive client sentiment driven by proactive communication, expert guidance, and reliable delivery. Key Responsibilities Data Source Identification and Integration: Identify and assess the data sources relevant to each client's ΛTLΛS deployment, determining the most effective approach for connecting to each. Assist clients in building custom connectors and data integrations, including working with data warehouses such as Snowflake and Databricks. Support context gathering and data uploading into the ΛTLΛS product, ensuring completeness and accuracy. Semantic Review and Data Validation: Review semantic inputs and outputs for the ΛTLΛS product, ensuring data is accurately interpreted and surfaced. Work with clients' QA and validation teams to develop and implement robust data validation strategies. Monitor the platform's inputs and outputs on an ongoing basis, identifying and addre