Manager – BI

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HighLevel

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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.

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

📋 Description

• Design, develop, and maintain data pipelines to integrate data from multiple sources including first-party data, MongoDB, Pendo, Firestore, Stripe, Twilio, Mailgun, Freshdesk, Google Sheets, and more. • Ensure data quality, reliability, and efficiency throughout the entire data lifecycle. • Optimize data processing workflows to handle large-scale datasets. • Manage and scale the data warehouse, ensuring it meets analytical needs across Finance, Marketing, Product, and other functions. • Implement best practices for data governance, security, and compliance. • Utilize and administer ETL tools and data orchestration platforms like Airflow and Fivetran. • Build and lead a high-performing data engineering team across multiple geographies. • Mentor and provide technical guidance to team members to enhance skills, ownership, and productivity. • Define the BI vision, standards, and roadmap aligned with RevOps and corporate data strategy. • Manage sprint planning, prioritization, and delivery timelines for all BI initiatives. • Partner with business leaders to align data efforts with revenue, product, and operational goals. • Write and review code in Node.js and Python to support data integration and transformation. • Collaborate with software engineering teams to define data ingestion and quality standards. • Negotiate contracts with data vendors and service providers. • Manage billing and cost structures associated with data services. • Provide insights into trade-offs between big data technologies and architecture choices. • Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes. • Work closely with AI, Reporting, and Analytics teams to create a unified, governed, and efficient data ecosystem. • Enable self-service analytics through well-documented datasets and standardized reporting structures. • Champion automation, version control, and continuous delivery of BI assets. • Establish monitoring, testing, and alerting systems for data quality and uptime. • Foster a culture of learning and innovation within the team by encouraging exploration of new technologies and methodologies.

🎯 Requirements

• 7+ years of experience in Data Engineering or a related field is required, along with 3+ years of proven leadership and team management experience. • The candidate should have an overall experience of 10+ years. • Demonstrated ability to build and scale large data infrastructures (50–100+ TB). • Proficiency in Node.js, Python, and advanced SQL. Hands-on experience with ETL tools (Fivetran, Airflow) and data warehouses (Snowflake or equivalent). • Strong understanding of data integration from diverse sources and APIs. Excellent analytical and problem-solving skills. • Strong communication and stakeholder management across all levels. • Understanding of data service billing models, vendor management, and cost optimization. • Commitment to data quality, security, and privacy compliance.

🏖️ Benefits

• EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.