Position: Manager - BI Engineering
Location: India (Remote)
Level: M3
Schedule: 2PM – 11 PM IST
About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Who You Are
As a Manager, BI Engineering, you are a strategic and hands-on data leader with deep technical expertise and a passion for building and scaling high-performing teams. You excel at translating business goals into data-driven strategies and take pride in delivering reliable, efficient, and insightful analytics solutions.
With over 10 years of experience in Business Intelligence, Data Engineering, and Analytics, you bring a strong balance of people leadership, architectural vision, and operational excellence. You thrive in global environments, managing distributed teams across geographies, and are driven by a mission to transform raw data into trusted intelligence that powers every decision.
Key Attributes
- Proven experience building and leading cross-geo data engineering teams.
- Expert in relational and non relational databases especially Snowflake, Redshift, SQL, Python, and data modeling best practices.
- Strong experience with Airflow, Fivetran, and ETL/ELT orchestration.
- Skilled in Tableau, Superset, and other BI visualization platforms.
- Strategic thinker with the ability to define and execute multi-year BI roadmaps.
- Excellent communicator and collaborator, adept at working with engineering and business stakeholders alike.
What You’ll Be Doing:
BI Engineering & Architecture
- Design, develop, and maintain data pipelines to integrate data from multiple sources.
- 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.
Data Modeling & Analytics
- Develop enterprise-wide semantic layers and dimensional models for reporting and analytics.
- Translate business questions into clear analytical requirements and metrics.
- Partner with Tableau developers to ensure they have clean, governed, well-modeled datasets.
- Build dashboards, analyses, and insights that support decision-making across RevOps and the business.
Leadership & Strategy
- 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.
Technical & Vendor Management
- 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.
Cross-Functional Collaboration
- 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.
Continuous Improvement
- 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.
What You’ll Bring
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- 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.
By joining our team, you will play a pivotal role in transforming raw data into meaningful insights, driving business success across the organization.
