Director – Database Engineering, Operations

🕒 January 13

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

SaaS • Marketing • B2B

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, mentor, and scale Data Engineering and Data Reliability Engineering (DRE) teams • Establish clear ownership, operating models, and accountability across data platforms and operations • Conduct regular one-on-ones, performance reviews, and career development for senior engineers and leads • Build a strong culture of operational ownership, reliability, and continuous improvement • Ensure data platform costs are predictable, optimized, and scale efficiently with business growth • Own and evolve core data platforms including: MongoDB Atlas, ClickHouse, Firestore, AlloyDB/Cloud-native relational databases, Caching systems (Redis/Memorystore) • Drive architectural decisions for scalability, performance, and multi-tenant workloads • Lead data platform upgrades, migrations, and long-term strategy • Own backup, restore, and disaster recovery for all critical data systems • Define and enforce RTO / RPO standards • Lead data incident response and post-incident remediation • Ensure regular DR drills, restore testing, and operational readiness • Reduce operational risk through automation and standardization • Establish and enforce schema change governance and data change controls • Partner with Security, SRE, and Governance teams on: Audit evidence and traceability || Risk management and controls • Act as the executive owner for data-related audit and compliance topics • Partner with Cloud Infrastructure & SRE on runtime reliability • Communicate clearly with executive leadership on risks, tradeoffs, and roadmap • Establish high standards for data availability, durability, and performance • Define and track KPIs related to: Data reliability, Incident frequency and MTTR & Recovery readiness • Drive continuous improvement across platforms and operations • Own cost efficiency and optimization across all data platforms • Monitor data platform spend and growth trends • Identify cost drivers and inefficiencies • Implement right-sizing, tiering, and lifecycle strategies • Balance performance, reliability, and cost when making architectural and operational decisions • Establish cost-related KPIs and regularly report on optimization initiatives and savings • Ensure data platform cost scales predictably with customer and usage growth • Own planning and prioritization for data infrastructure investments • Partner with leadership on headcount planning and hiring • Ensure efficient use of cloud and data platform resources

🎯 Requirements

• Bachelor’s degree or equivalent experience in Engineering or related field • 12+ years of engineering experience with significant focus on data platforms • Prior experience leading data infrastructure or database teams at scale • Experience with MongoDB (Atlas preferred), ClickHouse or similar analytical databases • Postgres/AlloyDB or cloud-native relational databases • Proven experience owning production data operations, incidents, and audits • Strong leadership and communication skills, including executive-level discussions • Experience in high-growth SaaS environments • GCP-based data platform experience • Experience building or leading Data Reliability Engineering (DRE) teams