At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam. We are seeking a visionary
Analytics Engineering Manager to bridge the gap between complex data infrastructure and actionable business insights. In this pivotal role, you will lead the charge in defining our data modeling standards, ensuring data quality, and empowering our stakeholders with a robust, self-service data platform. If you are passionate about applying software engineering best practices to data analytics and leading high-performing teams, we want you to build the future with us
Mô tả công việc
1. Team Leadership & Culture:
- Lead, mentor, and grow a team of talented Analytics Engineers. You will be responsible for their career development, fostering a culture of continuous learning and technical excellence.
- Champion the "Data as a Product" mindset, ensuring that datasets produced by the team are treated with the same rigor and reliability as customer-facing software.
- Drive agile processes within the data team to ensure rapid delivery of value while maintaining high standards.
2. Technical Strategy & Architecture:
- Architect and maintain a scalable data modeling layer (using tools like semantic) that transforms raw data into reliable, documented, and accessible datasets.
- Define and enforce coding standards, version control practices (Git), and CI/CD workflows for analytics code.
- Collaborate with Data Engineering to optimize data warehouse performance (e.g., BigQuery/Lakehouse) and manage compute costs effectively.
3. Data Quality & Governance:
- Implement automated testing and observability frameworks to detect data issues before they impact downstream users.
- Establish clear data lineage and documentation to democratize data access across the organization.
- Ensure strict adherence to data privacy, security, and compliance standards—a critical requirement in the Fintech sector.
4. Cross-Functional Collaboration:
- Partner closely with Product Managers, and Business Leaders to translate complex business requirements into technical data solutions.
- Act as a technical advisor, helping stakeholders understand the "art of the possible" with our data stack.
Yêu cầu công việc
- Experience: 5+ years of experience in the Data domain, with at least 2 years in a leadership or management role.
- Technical Mastery:
- Expert-level SQL skills and deep understanding of query optimization.
- Hands-on experience with Cloud Data Warehouses (Google BigQuery)
- Workflow Orchestration: Hands-on experience with orchestration tools such as Airflow, n8n. You should be capable of designing complex, dependency-aware pipelines that are resilient to failure.
- BI & Semantic Layer Integration: Deep understanding of how data is consumed by BI tools (e.g., Looker...). Ability to design the 'Semantic Layer' to ensure consistent metrics across the organization.
- Soft Skills & Culture Fit
- Stakeholder Management:
- "Ability to manage expectations with C-level executives and negotiate priorities effectively in a fast-paced environment."
- Talent Acquisition:
- "Experience in recruiting top-tier engineering talent and building a diverse, high-performing team from the ground up."