Description :

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.