MasterControl Japan

Data Engineer

• Provide architectural leadership for data solutions, data architectures, data warehousing, strategic data design, and infrastructure initiatives.
• Design and develop high volume data ingestion components and ETL solutions to collect data from various internal and external sources.
• Define a robust and extensible data architecture and plan for iterative implementation.
• Architect and guide the development of Proof-of-Concept projects to validate data designs and solutions.
• Architect for performant, durable, and scalable cloud-centric data models and validation supporting ever-evolving data versions and layouts.
• Design and enhance our cloud-based data analytics solutions to address AI/ML, data insights, security, privacy, and reliability concerns.
• Architect for agentic coordination and data discovery
• Design systems that enable AI governance, security and auditability
• Architect the overall data strategy including security, data models, data infrastructure, software selection, and performance.
• Understand existing databases, warehouses, and lake structures to drive the evolution of our current practices.
• Create technical design documentation which includes current and future functionality, database/data storage, specifications, flow, and diagrams.
• Help determine data storage based on the use case (relational, document, NoSQL, vector, graph, etc.)
• Collaborate and work with Cloud/Security architects and subject matter experts (SMEs).
• Ensure data quality and controls are in place to support various data ingestion inflows and outflows processes.
• Mentor Data Platform team members.

Data Architect

Technical Product Manager

• Own the product roadmap and execution for core data platform capabilities.
• Partner with data and application engineering teams to design and deliver scalable data ingestion and transformation pipelines.
• Drive platform patterns that support batch and streaming data processing and high-quality, reliable data.
• Ensure data is modeled and stored to support analytics, reporting, and downstream consumption.
• Enable data access via APIs, connectors, and integrations for internal and external consumers.
• Collaborate with analytics and reporting teams to ensure the platform supports dashboards and insights.
• Translate technical concepts into clear product requirements, priorities, and delivery plans.
• Balance delivery speed with long-term platform health and scalability.

Senior Technical Product Manager – Data Platform

Product Manager

• Support active product initiatives and own an AI-focused initiative for our Mx applications.
• Work with your manager and cross-functional partners to deliver customer value.
• Map user workflows and pain points using lightweight customer interviews, internal stakeholders, and desk research.
• Synthesize findings into a clear problem statement, target user, and opportunity sizing.
• Review market and competitive solutions and summarize implications for roadmap and positioning.
• Propose 1–3 primary KPIs per problem, including leading indicators and guardrails.
• Partner with Analytics and Engineering to establish baselines and measure success.
• Translate problems into solutions with measurable outcomes, explicit scope boundaries, and acceptance criteria.
• Define solution into stories; support a backlog; call out dependencies, risks, and trade‑offs.
• Collaborate with Design and Engineering on solution options; use prototyping or experiments where appropriate.
• Participate in grooming, sprint reviews, and UAT.
• Track and analyze results. Publish a concise results read-out.
• Present outcomes and learnings to Product and Engineering leadership at the end of the internship.

Data Architect

Senior Technical Product Manager – Data Platform

Product Manager Intern