As a Senior Manager, Software Engineering – Data, you will lead a team of engineers responsible for designing and delivering scalable, reliable, and high-quality data platforms, pipelines, and models across batch and streaming architectures. You will balance people leadership, delivery execution, and strategic direction, ensuring alignment between business priorities and technical solutions.

You will be accountable for team performance, engineering excellence, and domain outcomes, while fostering a high-performing, collaborative, and continuously improving engineering culture. This role serves as a critical bridge between business strategy and technical execution, ensuring the organization’s data capabilities scale to meet evolving needs.

Outcomes and Activities

Team Leadership & Development

• Lead, coach, and develop a team of data engineers, providing clear direction, feedback, and career growth opportunities
• Foster a culture of ownership, accountability, and continuous learning
• Drive strong engagement through effective 1:1s, performance management, and team development planning
• Ensure the team operates with a One Team mindset, collaborating effectively across functions

Delivery & Execution

• Own the successful delivery of end-to-end data pipelines and platform capabilities across batch and streaming architectures
• Ensure high standards for data quality, scalability, reliability, and observability
• Drive execution against priorities, balancing speed, quality, and technical sustainability
• Partner with Product, Analytics, and Business teams to ensure delivery aligns with business needs

Technical Leadership & Architecture Oversight

• Provide architectural guidance and technical direction across the data domain
• Ensure adherence to engineering standards, best practices, and design principles
• Anticipate risks related to performance, scalability, and data quality and proactively mitigate them
• Support the adoption of modern data technologies and frameworks

Strategy & Alignment

• Translate business strategy into clear technical priorities and execution plans
• Ensure alignment between long-term data platform strategy and near-term delivery goals
• Lead prioritization discussions, balancing competing demands and resource constraints
• Drive cross-functional initiatives that elevate the organization’s data capabilities

Engineering Excellence & Continuous Improvement

• Champion coding standards, testing practices, and CI/CD adoption to ensure high-quality, production-grade systems
• Promote a culture of experimentation, continuous improvement, and innovation
• Lead efforts to improve team processes, system design, and delivery efficiency
• Ensure strong documentation and maintainability of systems

Stakeholder Management & Communication

• Serve as the primary point of contact for stakeholders within the data domain
• Communicate progress, risks, and outcomes clearly to both technical and non-technical audiences
• Build strong cross-functional relationships to enable effective collaboration

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