Data Architect at LUSHA USA OPERATION INC

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, AI Systems, Microservices, Event-Driven Design, Streaming, Batch Processing, Lakehouse, CDC, Orchestration, Governance, Schema Evolution, Python, TypeScript, Databricks, Kafka, Kubernetes, Terraform

Industry

Software Development

Description

Description Here at Lusha, we power sales with data. Over 1.5M users and teams at Google, Zendesk, and Yotpo use our platform to find verified contacts, spot real-time buying signals, and automate workflows with 200M+ records. As a Data Architect, you’ll sit at the intersection of data engineering, ML systems, and platform architecture. You’ll own the patterns, guardrails, and data platform capabilities that let teams ship AI-native, low-latency experiences at scale—safely, reliably, and cost-effectively. What You’ll Actually Do: Design AI-native data systems: LLM/RAG pipelines, embeddings & vector search, and real-time inference- production-grade and observable. Evolve the data platform: Batch + streaming + lakehouse; CDC, orchestration, lineage/quality, and clear data contracts for ML readiness. Set org standards: Contract-first APIs & event schemas, ADRs, SLOs (latency/MTTR/cost); lead design reviews and architecture spikes. Modernize pragmatically: Guide adoption of Databricks, Kafka, Airflow, Kubernetes, Terraform, and modern observability- fit to purpose. Lead by influence: Mentor Tech Leads, partner with Product/ML/Platform, and turn goals into resilient, measurable systems. Requirements 5+ years as a Software/Data/Solution Architect in AI-intensive or data-heavy environments; ~10+ years engineering overall. Distributed systems depth: microservices, event-driven design, backpressure/idempotency, retries/DLQs; contract-first APIs. Data platform expertise: streaming + batch + lakehouse, CDC, orchestration, governance/lineage, schema evolution. AI systems fluency: LLMs, embeddings, vector stores, RAG; real-time production inference. Hands-on: Python or TypeScript/Scala; Databricks, Airflow, Kafka, Kubernetes, Terraform; Prometheus/Grafana/Coralogix. Cloud-first (AWS preferred), security-by-design, crisp writing and collaboration. Bonus: Serving/fine-tuning LLMs, MLOps/AIOps, OSS contributions, public talks/blog posts. Why Lusha: AI is the product: Your architecture directly shapes core user experiences at a meaningful scale. Impact without red tape: Own decisions, move fast, see results. Culture of excellence: Design-first, measurement-driven, privacy-minded, and highly collaborative. Modern stack, real autonomy: Build with the right tools—not buzzwords. Growth & visibility: Lead company-wide standards, mentor future leaders, and raise the bar across ML/Data/Platform.

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Responsibilities

As a Data Architect, you will design AI-native data systems and evolve the data platform to support various data processing methodologies. You will also set organizational standards and guide the adoption of modern tools and practices.