18 часов назад
Data Architect (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (Fintech): Designing and evolving the enterprise data architecture for a global financial analysis platform with an accent on real-time streaming pipelines and AI/ML readiness. Focus on building scalable Data Lakes/Lakehouses, establishing data governance standards, and optimizing high-volume financial data streams.
Location: Hybrid (Cyprus, Tbilisi)
Company
is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
What you will do
- Design and evolve corporate data architecture, including real-time streaming pipelines and Data Lakes.
- Facilitate Architecture Review Boards and develop Architecture Decision Records (ADRs) for data tiering and lifecycle policies.
- Build Data Lineage and centralized ownership processes using metadata tools.
- Define and monitor SLA/SLO for data quality and manage the overall Data Quality Program.
- Select data storage technologies (Data Warehouses, Lakehouses) balancing functional requirements with cost optimization.
- Formulate long-term strategies for AI/ML adoption, including AI-Ready Lakehouses, Feature Stores, and ML pipelines.
Requirements
- 10+ years of experience with large-scale, geo-distributed architectures and petabytes of data.
- Expert SQL and deep knowledge of Data Warehouses (e.g., Redshift, BigQuery, Snowflake, Azure Synapse) and Lakehouses.
- Strong background in real-time data delivery (CDC, Apache Kafka, Kinesis, Pub/Sub).
- Hands-on experience with data processing tools such as Spark, Flink, and dbt.
- Experience with AI/ML ecosystems (e.g., SageMaker, Vertex AI, MLflow).
- English: B1 level or higher and strong command of Russian is required.
Nice to have
- Practical experience with Data Governance and Data Quality monitoring (e.g., Great Expectations).
- Experience with infrastructure tools like Docker, Kubernetes, Terraform, and CI/CD.
Culture & Benefits
- Flexible working hours and a hybrid work format.
- Relocation support and private health insurance.
- Performance-based bonuses and Premium access.
- Learning, mentorship, and long-term career growth within a global distributed team.
- Regular team events and company-wide meetups.
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