All your data in one easy-to-use dashboard. Weāre building the operating system for eCom.
Lead SQL Engineer
Location
United States
Posted
4 days ago
Salary
$145K - $175K / year
Seniority
Senior
Job Description
Lead SQL Engineer
Triple Whale š³
⢠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 QAād 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 teamās 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 teamās 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.
Job 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
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