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Data Infrastructure Team Lead

Chargeflowמודיעין-Maccabim-Reut, ישראלהיברידיFull-timeדרגה: ליד

פורסם לפני 4 ימים · 0 מועמדים

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שמירה, הגשה או בדיקת התאמה. פתיחת חשבון חינם לוקחת כמה שניות.

תובנת Willbi

התפקיד במילים פשוטות

זהו תפקיד של ראש צוות להנדסת נתונים ותשתיות דאטה, המשלב הובלה ניהולית לצד ארכיטקטורה טכנולוגית Hands-on. התפקיד כולל תכנון, פיתוח וניהול של תשתיות ענן ומערכות עיבוד נתונים בזמן אמת ו-Batch, תוך שמירה על ביצועים, אבטחה, אמינות וניהול עלויות ענן (FinOps). בנוסף, התפקיד כולל הובלה, חניכה וגיוס של צוות מהנדסי דאטה ותשתיות.

חובה
  • 6+ years in data platform engineering, data infrastructure, or backend engineering
  • 2+ years leading, managing, or mentoring engineers
  • Proficiency in Python (or similar) and modern software engineering practices (clean code, CI/CD, testing paradigms)
  • Extensive experience architecting and operating scalable data lakes/lakehouses, distributed systems, and real-time event-driven architectures
  • Experience with AWS, GCP, or Azure
יתרון
  • Advanced data stack: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark optimization, and big data processing
  • Streaming & messaging: Kafka, Kinesis, Flink, Kafka Streams
  • Modern tooling: Temporal/Dagster, dbt/DuckDB, Datadog/Grafana, Pydantic
  • FinOps & governance: Spot instances/savings plans and compliance frameworks (GDPR/PCI-DSS)

חולץ מתיאור המשרה · מתעדכן אוטומטית

למי זה מתאים

התפקיד מתאים למהנדסי תשתיות דאטה או בקאנד בעלי 6+ שנות ניסיון, מתוכן לפחות שנתיים בהובלה או ניהול צוות, עם מומחיות בארכיטקטורת מערכות מבוזרות, ענן, IaC ו-Python. הוא פחות מתאים למי שמחפש תפקיד ניהולי בלבד ללא מגע טכני בארכיטקטורה או למי שחסר ניסיון ניהולי קודם.

תיאור המשרה המלא

המשרה המקורית · נשמר לעיון

Who We're Looking For - The Team Lead & Architect  Chargeflow is at the forefront of fintech + AI innovation. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology—freeing online businesses to focus on their core ideas and growth. We’re looking for an experienced Data Engineering / Data Infrastructure Team Lead to guide a high-performing team in designing, scaling, and operating the robust, cost-efficient infrastructure powering our platform. This role balances hands-on architectural leadership with people leadership , and will be a key driver of reliability, performance, security, and cost efficiency across our data systems. The impact you’ll have • Build and evolve the data infrastructure that safeguards our clients’ revenue and powers critical product, ML, and analytics use cases. • Establish scalable engineering standards and operational practices (reliability, security, governance, and cost efficiency). • Lead and grow a team of data/infrastructure engineers while cultivating technical excellence and psychological safety. What you’ll own (Your arena) • Leadership & Mentorship Lead, mentor, and scale a team of talented data and infrastructure engineers. • Create strong execution rituals: clear ownership, high-quality delivery, feedback loops, and growth plans. • Data Infrastructure & FinOps Own the architecture and evolution of our modern data stack and platform services. • Drive cloud cost management (FinOps): cost visibility, optimization initiatives, and capacity planning. • High-Performance Engineering Oversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency. • Define technical direction for storage, compute, and data movement patterns (event-driven + lakehouse). • Operational Excellence Champion Infrastructure-as-Code (IaC), CI/CD, and testing practices for infrastructure and data systems. • Establish observability standards (monitoring/alerting, SLOs, incident response, postmortems). • Partner on security compliance and data governance across the R&D organization. • Strategic Collaboration Act as the bridge between data engineering, product, data science, and core R&D teams to execute cross-functional initiatives. • Translate business goals into platform roadmaps, milestones, and measurable outcomes.

Requirements: What it takes (Must-haves) • Experience: 6+ years in data platform engineering, data infrastructure, or backend engineering, including 2+ years leading/managing/mentoring engineers. • Strong software engineering: Proficiency in Python (or similar) and modern practices (clean code, CI/CD, testing paradigms). • Data architecture: Extensive experience architecting and operating scalable data lakes/lakehouses, distributed systems, and real-time event-driven architectures. • Cloud-native & IaC: Experience with AWS, GCP, or Azure , plus Docker/Kubernetes and Infrastructure-as-Code (e.g., Terraform ). • Databases & storage: Strong knowledge of relational (e.g., PostgreSQL ), NoSQL, and analytical databases, including performance optimization, schema design, and cost tuning at scale. • Execution & delivery: Proven track record managing sprint planning, scoping technical projects, and delivering complex infrastructure roadmaps on time. Nice-to-haves • Advanced data stack: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark optimization, and big data processing. • Streaming & messaging: Kafka, Kinesis, Flink, Kafka Streams. • Modern tooling: Temporal/Dagster, dbt/DuckDB, Datadog/Grafana, Pydantic. • FinOps & governance: Spot instances/savings plans and compliance frameworks (GDPR/PCI-DSS). About Chargeflow Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. We’ve built an AI-driven solution to protect merchants’ revenue at scale. Backed by $49M led by Viola Growth, OpenView, Sequoia Capital, and other top-tier investors, Chargeflow is on a product-led growth journey. We’re a tight-knit community of passionate builders, united in our mission to revolutionize eCommerce and fight against chargeback fraud.

אודות Chargeflow
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Chargeflow
פורסם לפני 4 ימים · 0 מועמדים
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