Lead SQL Engineer

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Triple Whale 🐳

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

eCommerce • SaaS • Artificial Intelligence

Triple Whale is a comprehensive data platform designed for business intelligence, analytics, and marketing efficiency. It consolidates first-party and zero-party data into a single source of truth, offering brands reliable insights and powerful tools for data-driven decisions. Its features include AI-powered insights with Moby, customizable dashboards, forecasting tools, and integration with various e-commerce and marketing platforms. Trusted by over 20,000 brands, Triple Whale facilitates strategic growth, operational efficiency, and enhanced customer engagement through advanced data analytics and automation solutions.

📋 Description

• Lead, coach, and develop a distributed team of SQL engineers across the US and Eastern Europe. • Own the end-to-end service model for custom analytics requests, including intake, scoping, Jira execution, QA, customer review, feedback loops, and SLAs. • Serve as a customer-facing technical leader, joining calls to scope complex requests, present dashboards, explain data logic, and translate business questions into clear SQL deliverables. • Set the standard for delivery quality, ensuring dashboards and queries are accurate, well-documented, and QA’d against key Triple Whale data sources before reaching customers. • Improve the systems and processes that support the team, including ticket routing, request categorisation, capacity planning, documentation, and reporting. • Build a more thoughtful taxonomy of customer requests by product surface, segment, complexity, and use case to improve planning and surface product insights. • Partner with Customer Success, Solutions Architecture, Implementation, Sales, Product, and Engineering to support renewals, expansions, escalations, and strategic customer work. • Help identify which requests should be solved through self-serve product functionality, documentation, enablement, or Product/Engineering investment rather than custom SQL. • Continue the team’s partnership with Product and Engineering on internal platform work, including template libraries, Moby-related SQL work, migrations, and AI-enabled analytics workflows. • Balance customer-facing delivery with internal technical priorities, ensuring the team’s time is focused on the highest-impact work. • Act as the technical voice in conversations around Advanced Intelligence credits, customer value, and the role of custom analytics in retention and expansion.

🎯 Requirements

• 6+ years of experience writing and shipping production SQL at scale, ideally with e-commerce, marketing, attribution, or customer analytics data. • Strong experience with BigQuery and/or ClickHouse, including performance optimisation, edge cases, and data quality considerations. • 2+ years of experience managing data engineers, analysts, BI engineers, or a customer-facing technical delivery team. • Experience running or improving a request-driven service model with intake, ticketing, QA, SLAs, delivery standards, and feedback loops. • Strong customer presence, with the ability to lead calls with senior marketing, growth, or data stakeholders and turn ambiguous business questions into clear technical scope. • Hands-on familiarity with the modern e-commerce data stack, including Shopify, Meta, Google, TikTok, Klaviyo, attribution modelling, and the data joins required to connect them. • Strong systems thinking, with the ability to design scalable workflows, improve visibility, and create structure in a high-volume environment. • Comfort working in Jira, Slack, HubSpot, and other workflow tools to create clear, measurable, and repeatable processes. • Excellent written communication, with the ability to produce clear Jira updates, customer notes, documentation, team standards, and technical explanations. • A strong ownership mindset, with the ability to balance technical depth, customer empathy, team leadership, and operational execution.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off