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Технологии в финансах
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Platform Engineer (SingleStore/PostgreSQL): Building and scaling enterprise data services and ingestion pipelines with an accent on database architecture, production reliability, data curation, and cost optimization. Focus on migrating workloads to SingleStore, enabling self-service platform onboarding, designing batch and CDC pipelines, and solving complex data platform operations.
Location: London, England, United Kingdom; other location: New York, New York, United States
Company
hirify.global is a global multi-manager hedge fund using proprietary technology, infrastructure, risk analytics, and internal and external portfolio manager teams across Quant, Tactical, Fundamental Equity, and Discretionary Macro & Fixed Income strategies.
What you will do
Design, develop, and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexes, and workloads.
Build and maintain batch, streaming, and CDC ingestion pipelines from relational databases, object storage, and other enterprise sources into SingleStore, including validation, transformation, enrichment, and data curation.
Lead technical assessments and migrations of applications and data workloads to SingleStore while onboarding teams, applications, and services.
Build reusable self-service onboarding capabilities with APIs, configuration templates, automated provisioning, access requests, pipeline deployment, and operational guardrails.
Optimize cloud database spend through right-sizing, consolidation, scheduling, performance tuning, and transparent cluster-, application-, and team-level cost allocation and showback.
Own production readiness and database reliability, including monitoring, incident triage, root-cause analysis, recoverability, deployment controls, data governance integration, CI/CD, testing, documentation, and cross-region handoffs.
Requirements
7+ years of hands-on experience in data platform engineering, database engineering, or closely related production data roles.
Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning, and operational troubleshooting.
Strong Python skills and practical experience developing production-grade ingestion and transformation pipelines with testing and observability.
Experience with distributed or cloud-managed databases and modern data integration patterns, including batch and CDC.
Familiarity with cloud object storage as an ingestion and staging layer.
Ability to own end-to-end technical delivery, collaborate with application teams, and solve complex production issues independently.
Nice to have
Hands-on SingleStore, formerly MemSQL, or SingleStore Helios experience, including pipelines, performance tuning, and workload design.
Kafka or similar streaming platforms, infrastructure as code, CI/CD, and API-driven platform automation.
Experience building self-service data platforms, data quality frameworks, metadata or catalog integrations, and chargeback or showback reporting.
Experience with cloud FinOps, database migrations, or financial-services enterprise data.
Culture & Benefits
Collaborative, teamwork-oriented environment where ideas are encouraged at all levels.
Learning and educational offerings with opportunities to innovate and make an impact.
Internal networks, external partnerships, and service initiatives supporting inclusion and community.
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