Senior Engineering Manager – Data Platform

🕒 September 22

🇺🇸 United States – Remote

💵 $220k - $291k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 5%

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Lead the Data Platform & Infrastructure team • Own the strategy, execution, and evolution of foundational data systems • Lead, recruit, and mentor an engineering team • Direct data infrastructure strategy and oversee resource allocation, headcount, and vendor budget planning • Establish operational rhythms, goals, and execution frameworks • Guide system architecture, data flow design, quality standards, and platform roadmaps • Define platform abstractions, APIs, and SLAs • Ensure monitoring, incident management, disaster recovery, and cost optimization • Partner with Product, Data, Finance, Security, Audit, and Analytics Engineering • Establish standards for pipeline reliability, data security, and quality • Advocate for automation and engineering best practices • Build leadership succession and develop senior technical leaders • Within the first year, improve data governance, increase data-powered products, improve engineering velocity, grow the team, and deliver a scalable roadmap

🎯 Requirements

• 10+ years of experience in software engineering, SRE or infrastructure, data platform engineering, or related fields • 4+ years managing high-performing technical teams and developing people • Deep expertise with Snowflake, Google BigQuery, Databricks, or equivalent modern data warehousing systems • Experience with ecosystem tools including Airflow and DBT • Familiarity with Git and CI/CD workflows • Strong understanding of data warehousing concepts and infrastructure workload management • Experience defining data security, platform SLAs, and governance frameworks • Excellent stakeholder management and communication skills • Ability to influence technical strategy across multiple organizations

🏖️ Benefits

• Equal Opportunity Employer • Global, remote-first organization • Professional development and learning opportunities • Team morale and engagement support

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