The posting, in Walker Sands's own words
archived Oct 24, 2026Walker Sands is one of the fastest-growing integrated B2B marketing agencies in the world. We are looking for a Lead Data Engineer to help fuel that continued growth. The starting salary for this role is expected to be between $155,000 and $175,000 per year. Walker Sands is seeking a Lead Data Engineer to join our DATA practice (Data, Analytics, Technology and AI) and help lead the data infrastructure behind our client reporting, measurement, internal operations, and AI-driven work. This is a hands-on role, but not a heads-down one. Reporting to the SVP, DATA, you'll lead key technical parts of our data stack and be a strategic partner on where it goes next: what to build, what to buy, what to fix, and what actually matters to the business. You don't need a lot of direction and are comfortable working through ambiguity. The role grows as you do. Near term, you'll work alongside our team and external partners to extend and strengthen the platform. Over time, you'll take on more of the technical ownership and help lead what comes next. And as the practice scales, you'll build and lead a small data support team handling tier 1 and tier 2 triage.
What You Will Do (Responsibilities):
Data Engineering Build and maintain pipelines and dbt models in Snowflake that are tested, documented, and trusted Integrate data from paid media, web analytics, SEO, CRM, and business systems using tools like Fivetran or Airbyte and direct APIs Find and fix breaks at the root, before an account team or client finds them Maintain data governance: access controls, privacy, and consent requirements Structure and document data so AI agents can use it reliable: clear semantic layers, consistent definitions, and metadata that tells an agent what a table or metric actually means Build governed access patterns for agentic tools (scoped, read-only, permission aware) so agents only query the data they're allowed to, and their answers can be traced back to the source Strategy + Partnership Work with the SVP, DATA on architecture, roadmap, and build-vs-buy-vs-partner decisions Translate business and client needs into data designs that hold up, and push back when a request won't Make data usable for analysts, reporting, and AI-driven tools through well-modeled, well-governed layers Team Leadership Build and lead a small data support team handling tier 1 and tier 2 triage, including the playbooks and escalation paths behind it Eventually build out the team as needed for various functions to drive better accuracy, performance and data tools for the business