Engineering Manager (Data Direction)

About the Position

We are seeking an experienced Engineering Manager for Data Direction to lead cross-functional data and platform teams, ensuring high availability and performance of production pipelines.

Responsibilities

• Lead and develop cross-functional data and platform teams
• Own delivery, quality, and technical outcomes for the data platform
• Partner closely with Product, Analytics, Data Science/ML, and Senior Engineering leadership to translate business and AI requirements into a scalable platform roadmap
• Drive and evolve data engineering processes, including planning, estimation, CI/CD for data, testing and data quality, code reviews, and release management
• Contribute to architectural decisions for data systems running on hybrid infrastructure (batch + streaming, lakehouse, and beyond)
• Ensure high availability, performance, data reliability, and observability of production pipelines and platform services
• Embed security, privacy, data lineage, and regulatory compliance into the platform by design
• Identify and reduce technical and data debt while maintaining delivery velocity
• Mentor engineers, support career growth, conduct 1:1s and performance conversations
• Participate in hiring and team scaling initiatives
• Foster a culture of ownership, collaboration, data quality, customer focus, and continuous improvement

Requirements

• 5+ years of professional software or data engineering experience
• Experience leading engineering teams as an Engineering Manager, Team Lead, or similar leadership role
• Strong data/software engineering background with the ability to engage in technical discussions and data architecture decisions
• Experience delivering complex data systems or platforms in production environments
• Background in financial systems, FinTech, or other high-reliability, regulated domains
• Strong understanding of data platform and backend systems – data modeling, distributed data processing, and pipeline orchestration
• Hands-on experience with the modern data stack: batch and streaming processing, orchestration, and warehousing/lakehouse
• Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies for data workloads
• Familiarity with data observability (data quality, metrics, logging, alerting, lineage) and performance monitoring

Nice to Have

• Experience building platforms that serve AI/ML workloads (feature stores, MLOps, model-serving, vector/embedding stores)
• Experience with low-latency or high-throughput data systems
• Exposure to trading, fintech, or market-data platforms
• Experience with data governance, security, and regulatory compliance (PII handling, audit, lineage) in financial environments
• Experience scaling data and engineering teams and organizations

We Offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

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