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 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
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
