Engineering Manager – Engineering Data Platform Enablement

Jobtailor; Seattle (WA); On-site; USD 190,000 - 240,000; Full time

Job summary

Jobtailor in Seattle/US is seeking a Lead Data Platform Engineer to drive engineering delivery across the data stack, including BigQuery/GCP, Looker, and AWS workloads. You will own platform reliability, capacity planning, and governance across analytics tooling.

You'll mentor engineers, contribute code, and partner with analytics teams on data modeling and dashboard best practices while steering cost optimization and security-aligned access controls.

Qualifications

• 2+ years leading engineering teams with direct accountability for delivery and people development.
• 5+ years building software, platforms, infrastructure or data systems.
• Hands-on Python proficiency and continued code contributions.
• Strong cloud experience across GCP and/or AWS; familiarity with Git, CI/CD, and infrastructure as code.

Responsibilities

• Lead engineering delivery across data platform workloads and analytics tools.
• Own platform reliability, incident response, and on-call for production systems.
• Drive capacity planning, forecasting growth, and cost optimization.
• Deprecate legacy platforms and manage governance across data platforms.
• Own enterprise access provisioning and governance.
• Define access policies and provisioning workflows with security/ compliance partners.
• Set LookML governance, standards, and deployment practices for Looker Core.
• Partner with analytics teams on data modeling and dashboard best practices.
• Oversee platform health, migration governance, and development lifecycle.
• Lead enablement strategies and coach teams on AI tooling adoption.
• Contribute as an engineer: write code, build tooling, review PRs.
• Own hiring, capacity planning, and team health.

Skills

Leadership

People development

AI tooling awareness

Strategic thinking

Tools

Python

GCP

AWS

Git

CI/CD

Infrastructure as Code

Looker

LookML

Metabase

Job description

• Lead engineering delivery across BigQuery/GCP, GCP Looker, Metabase, and AWS workloads
• Own platform reliability, incident response, and on‑call for production systems
• Drive capacity planning — forecasting growth, managing compute costs, and scaling ahead of demand
• Support the deprecation of legacy platforms (MicroStrategy, Tableau)
• Own enterprise access provisioning and governance across the data platform
• Lead cost optimization across GCP, AWS, and platform tooling in partnership with engineering and finance
• Define access policies, tiering models, and provisioning workflows with security and compliance partners
• Establish LookML governance, development standards, and deployment practices for Looker Core
• Partner with analytics teams on explore design, data modeling, and dashboard best practices
• Own platform health, migration governance, and the Looker development lifecycle
• Lead the CA enablement strategy — Golden Query standards, agent development, adoption
• Manage token utilization and capacity planning with Insights Delivery leadership
• Partner with every team across the organization to drive CA maturity enterprise-wide
• Set technical direction: architecture, standards, monitoring, and prioritization
• Develop your engineers and coach AI fluency through hands‑on guidance and a high adoption bar
• Contribute as an engineer: write code, build tooling, and review pull requests alongside the team
• Own hiring, capacity planning, and team health

Requirements

• 2+ years leading engineering teams, with direct accountability for delivery and people development
• 5+ years building software, platforms, infrastructure, or data systems
• Hands-on Python proficiency (or equivalent) you still write today — direct technical contribution is expected
• Strong cloud experience across GCP and/or AWS, with fluency in Git, CI/CD, and infrastructure as code
• Experience owning access management programs at scale
• Daily use of AI coding tools and a real point of view on how they change the way teams work