C
Data Platform Tech Lead
·Israel
Not specifiedFull-timeData EngineeringCybersecuritySaaS
Tech Lead responsible for architecting and evolving the data platform, including data warehouse, data lake, and ETL/ELT pipelines. Leads cross-functional initiatives, mentors engineers, and drives adoption of modern data technologies and AI practices. Requires 6+ years in data engineering, 2+ years in tech leadership, backend development, and database fluency.
Responsibilities
- Architect and evolve Data Warehouse, Data Lake, and ETL/ELT pipelines across multiple products and business domains.
- Design and build enterprise-grade backend services and APIs exposing data platform capabilities at scale.
- Own technical decisions on scalability, reliability, observability, and data quality.
- Lead cross-functional initiatives with R&D, product, analysts, and business stakeholders.
- Mentor data engineers and developers through design reviews and technical leadership.
- Drive adoption of modern data technologies, AI-first practices, and automation.
Requirements
- 6+ years in data engineering, including production-scale platform design and operation using Spark.
- 2+ years as a Tech Lead or senior engineer leading technical initiatives.
- Hands-on backend development experience with REST/gRPC APIs, microservices, at enterprise scale.
- Broad database fluency: relational, analytical, NoSQL, columnar, and streaming stores.
- Advanced SQL and strong Python; experience building and optimizing large-scale ETL/ELT pipelines.
- Experience with cloud-based data platforms and AI-driven data workflows.
- Practical proficiency with AI agents and tools, integrating LLM-powered workflows in production.
- Strong communication skills with technical and non-technical stakeholders.
Nice to have
- Azure data services, Databricks, or EventHub.
- Streaming and real-time data processing architectures.
- Background in cybersecurity, SaaS, or large-scale enterprise environments.
- Data governance, observability, or self-service platform experience.