4 дня назад
Engineering Manager - Data (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager - Data (Fintech): Leading data engineering for a financial infrastructure platform, including lakehouse ingestion, layered datasets, orchestration, quality, governance, and cost controls with an accent on regulated financial data and production scale. Focus on designing reliable batch and streaming pipelines, building self-serve governed datasets for analytics and AI, and growing a high-performing data engineering team.
Location: Bengaluru, India
Company
builds infrastructure for cross-border payment systems serving institutional financial flows.
What you will do
- Lead the Data Engineering pod, own its roadmap and engineering standards, and support delivery.
- Build reliable batch, streaming, and change-data-capture ingestion from trading, banking, settlement, and liquidity-provider systems.
- Own the lakehouse architecture, including bronze, silver, and gold data layers, modelling standards, ownership, and documentation.
- Manage orchestration, CI/CD, testing, environments, backfills, schema changes, monitoring, incident response, and platform costs.
- Establish data quality, governance, access control, PII masking, catalog and lineage coverage, retention, and residency controls for regulated environments.
- Enable self-service analytics and AI-ready datasets while hiring, mentoring, and developing the data engineering team.
Requirements
- 8+ years of data engineering experience, including 4+ years managing data engineering teams with senior engineers reporting in.
- Experience operating production pipelines and a lakehouse or warehouse at scale in a regulated or audited environment.
- Strong knowledge of batch and streaming ingestion, change data capture, open table formats, layered data modelling, orchestration, data quality, and observability.
- Ability to write SQL and Python, review data models and pipelines, debug failing jobs, and lead major platform decisions through production.
- Demonstrated hiring, performance management, and people development experience.
- Clear written communication for an async-heavy, globally distributed environment, with experience using AI agents or assistants to automate data engineering work.
Nice to have
- Experience in fintech, payments, banking, or exchanges.
- Experience ingesting and normalising money-movement data from external banks and partners.
- Experience with data contracts, data catalogs, data quality programmes, streaming, and change-data-capture pipelines.
- Hands-on experience with GDPR, PCI DSS, DORA, SOC 2, or ISO 27001 audits from the data side.
Culture & Benefits
- Competitive salary and benefits package.
- Equity in a rapidly growing fintech startup.
- Opportunity to shape global financial infrastructure and solve problems involving financial data, regulation, and scale.
- Collaborative environment focused on personal and professional growth.
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