4 дня назад
Data-AI Architect (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data-AI Architect (Fintech): Designing and governing scalable data and analytics architectures across data products, real-time platforms, lakehouses, machine learning, and AI use cases with an accent on data mesh, streaming systems, semantic layers, and cloud platforms. Focus on defining reliable event-processing patterns, governing data quality and security, enabling MLOps capabilities, and translating complex architectural trade-offs into production-ready standards.
Location: Hybrid in Montevideo, Buenos Aires, São Paulo, Barcelona, or Madrid
Company
provides financial infrastructure for global commerce across more than 60 emerging markets.
What you will do
- Define and evolve enterprise data architectures across batch, streaming, lakehouse, warehouse, and operational workloads.
- Lead data-mesh adoption through domain ownership, data products, federated governance, self-service platforms, discoverability, and measurable SLAs.
- Establish engineering standards for ingestion, storage, processing, orchestration, observability, lineage, security, and access management.
- Design streaming and event-processing architectures using Kafka, Kinesis, Flink, Spark Structured Streaming, and Databricks.
- Shape semantic layers, canonical data models, enterprise ontologies, and shared definitions for analytics, applications, machine learning, and AI.
- Guide cloud data platforms, lakehouse capabilities, MLOps, feature platforms, architecture RFCs, migration plans, and implementation roadmaps.
Requirements
- 8–10+ years of experience designing and operating scalable data architectures.
- Strong experience with data-mesh architectures, domain ownership, data products, federated governance, contracts, quality, and discoverability.
- Deep expertise in streaming and event-driven systems, including Kafka or Kinesis and Flink or Spark Structured Streaming.
- Experience with semantic layers, business ontologies, canonical data models, metadata, lineage, lakehouse patterns, warehouses, and data pipelines.
- Experience with AWS and/or GCP, plus technologies such as Databricks, Unity Catalog, Delta Lake, Iceberg, Spark, Airflow, dbt, Python, SQL, CI/CD, infrastructure as code, and observability tools.
- Strong stakeholder management, communication, facilitation, risk management, and decision-making skills, including experience with MLOps or low-latency machine-learning data systems.
Culture & Benefits
- Flexible schedules focused on impact and productivity rather than fixed hours.
- Combination of self-managed focus time and in-person collaboration in company hubs.
- Opportunity to work in the fintech industry on payment infrastructure for global commerce.
- Ability to work while traveling for up to three months each year.
- Country-specific benefits and an employee referral bonus program.
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