A data engineer lead is responsible to bridge between business and technical implementation, raw data and production-ready environments by designing scalable infrastructure, automating data pipelines, and mentoring teams.

Key Responsibilities

• Architecture & Pipeline: Design and govern data model (Medallion architecture) and oversee the implementation (e.g. data lakes, build automated batch / real-time streaming pipelines, data source integrations)

• Collaborations: Partnering with Analysts

• Governance: Establish technical best practices and enforcing data quality

• Leadership & Team Management: Mentoring junior engineers

Stakeholder and team collaboration

• Act as a bridge between teams: Collaborate with various departments, such as IT, marketing, sales, and design, to align on goals and execution.

• Manage stakeholder relationships: Keep stakeholders informed and gather their feedback to ensure the platform meets their needs.

• Foster collaboration: Encourage a collaborative and performance-driven culture within the team and across the organization.

• Platform adoption: Ensure the platform is understood, used properly, and delivers benefits

Performance, operations and vendor management

• Monitor and analyze performance: Track key performance indicators (KPIs) and analyze data to identify areas for improvement and inform decisions.

• Oversee technical performance: Ensure the platform is scalable, secure, and performs well by working closely with technical teams. Ensure platform decisions follow architectural, data, and cybersecurity standards

• Ensure compliance: Maintain compliance with brand, legal, and regulatory standards.

• Drive continuous improvement: Conduct experiments and implement updates to enhance user experience and platform capabilities.

• Governance: Approve changes, releases, and enhancements

• Vendor Management

  • Manage key vendors delivering the platform or modules

  • Ensure SLAs, performance, and contract obligations are met

• FinOps / Usage Monitoring / License Renewal:

  • Own the platform budget — build vs run costs

  • Evaluate financial impact of upgrades, licences, and new investments

  • Ensure cost efficiency and scalability

• Audit support: Assisting with internal or external audits by providing required documentation, evidence, and responses to ensure compliance with standards and regulations

• Incident management: responding to and resolving unplanned disruptions or service issues to restore normal operations as quickly as possible.

• Demand management: forecasting, prioritizing, and controlling incoming requests for services or resources to ensure capacity aligns with business needs

• Problem management: structured approach to identifying the root causes of recurring incidents and implementing long-term fixes to prevent them from happening again