
Lead Data Engineer
17 hours ago
About Talent500
Talent500 is a global job platform for tech and non-tech talent. We partner with top companies to find dream jobs for the best professionals.
The RoleAs a Manager, Product & Technology at Talent500, you will lead a team of Data Engineers, SREs, and Operations staff supporting Accounting and Finance Technology platforms.
- Team Leadership: Manage a team of engineers and operations staff, providing coaching, feedback, and career development support.
- Delivery Oversight: Ensure project deliverables and operational commitments are met on time, with high quality and compliance.
- Operational Management: Oversee the smooth running of Accounting and Finance platforms, ensuring adherence to SLAs for availability, reliability, and data accuracy.
- Incident & Problem Management: Ensure effective resolution of incidents; coordinate root cause analysis and track corrective actions.
- Process Adherence: Ensure the team follows established engineering, SRE, and operational best practices (code reviews, change management, monitoring, compliance).
- Resource Allocation: Assign work across the team, balancing project and operational demands.
- Reporting: Track and report on team progress, system performance, and operational metrics to senior leadership.
- Continuous Improvement: Identify opportunities for process automation, tooling improvements, and efficiency gains.
To succeed in this role, you will need:
- Bachelor's degree in Computer Science, Engineering, Business, or related field (or equivalent experience).
- 7-10 years of experience in technology roles, with 2–3 years in people management of engineering or operations teams.
- Experience managing delivery of technical projects or supporting mission-critical systems.
- Familiarity with financial systems, accounting platforms, or financial data pipelines.
- Strong understanding of operational practices including incident, problem, and change management.
- Solid communication and organizational skills with the ability to partner with both technical teams and business stakeholders.
You must have expertise in:
- People Management for a data engineering team, responsible for building scalable data pipelines for financial systems.
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