We are looking for an experienced Engineering Manager to lead our Data Platform team, responsible for building and operating scalable, reliable, and cost-efficient data infrastructure. This role combines technical leadership, people management, and platform strategy to enable data-driven products and analytics at scale.
You will lead a team of engineers building high-volume data pipelines, real-time streaming systems, and data warehouse solutions, while partnering closely with product, analytics, and infrastructure teams.
Technology Stack
Core Technology Stack
- Languages: Kotlin, Java (Strong experience required)
- Cloud Platform: AWS
- Orchestration & Containers: Kubernetes, Docker (Containerization)
- API / Communication: REST, gRPC, API Gateways (Rate limiting, Auth)
- Messaging & Streaming: Kafka, RabbitMQ
- Architecture: Microservices, Event-driven Architecture, Distributed Systems
DevOps & Infrastructure
- CI/CD: CI/CD Pipelines (Best practices in testing and deployment)
- Observability (Good to Have): Prometheus, Grafana, OpenTelemetry (Monitoring, Logging, Tracing)
- Service Mesh (Good to Have): Istio, Linkerd
- Security: Authentication, Authorization, Secrets Management
Responsibilities
- Manage and lead a team of 4–8 engineers, providing guidance, mentorship, and support to foster professional growth.
- Develop and maintain a high-performing and motivated engineering team.
- Establish and communicate clear team goals, expectations, and deliverables.
- Maintain a ratio of 7:3 between team and technical management, ensuring a balance between leadership and hands-on technical contributions.
- Drive design and implementation of robust data pipelines, ingestion frameworks, and transformation systems.
- Define and enforce best practices for data modeling, data quality, schema management, and performance optimization.
- Ensure high availability, scalability, and reliability of data systems handling large-scale workloads.
- Define and manage SLAs/SLOs for data pipelines (freshness, latency, accuracy).
- Translate business requirements into scalable and maintainable data platform designs.
- Drive cloud infrastructure strategy for data platform (cost optimization, scalability, performance).
- Evaluate and adopt new tools and technologies aligned with platform strategy.
- Ensure data governance, security, and compliance requirements are met.
- Manage project timelines, priorities, and resource allocation to ensure timely delivery.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- At least 3+ years of engineering management experience.
- At least 5+ years of hands-on experience building and operating high-volume data platforms.
- Prior experience in a high-scale SaaS or data-intensive product company.
- Strong programming background (e.g., Python, Java, Scala, or Go).
- Strong hands-on experience with:
- Data pipelines (batch and streaming)
- ETL/ELT frameworks
- Data warehouses and OLAP systems
- Real-time streaming (Kafka Streams, Flink, Spark Streaming or similar)
- Experience with tools such as:
- Apache NiFi, Kafka, RabbitMQ
- ClickHouse, Snowflake (or similar)
- Experience working with cloud platforms (AWS, Azure, etc.).
- Deep understanding of distributed systems and data architecture patterns.
- Experience in designing scalable, fault-tolerant, and high-throughput systems.
- English: Business level (TOEIC 700 or above, or equivalent English communication proficiency)
- Japanese: Conversational and above preferred
Nice to haves
While not specifically required, tell us if you have any of the following.
- Experience with:
- Data lake/lakehouse architectures (e.g., Delta Lake, Iceberg)
- Workflow orchestration tools (Airflow, Dagster, Argo)
- Knowledge of data security and compliance (GDPR, SOC2, etc.).
- Experience supporting ML/AI data pipelines and feature engineering workflows.
- Experience implementing data quality, lineage, and governance frameworks.
- Experience building internal data platforms as a product (self-serve data platforms).
- Experience in AI development and/or experience in using AI tools to improve development processes.
- Money Forward recently announced our AI Strategy roadmap which focuses on improving AI-driven operational efficiencies, as well as integrating AI agents into our products to deliver better value to our users.
Compensation
¥6,408,000 ~ ¥11,004,000 annually.
