Data Engineering Manager

Що робити

Lead and develop cross-functional Data Engineering and Data 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)

5+ years of hands-on professional Data Engineering experience, with a strong track record of building and operating production-grade data pipelines and platforms
Experience leading engineering teams as an Engineering Manager, Team Lead, or similar leadership role
Strong understanding of modern data architectures, including data modeling, ETL/ELT, distributed data processing, pipeline orchestration, batch and streaming workloads, and data storage
Experience delivering complex data systems or platforms in production environments
Background in financial systems, FinTech, or other high-reliability, regulated domains

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

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