Data Architect

10/22/2025

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.

Working Hours

40 hours/week

Company Size

201-500 employees

Language

English

Visa Sponsorship

About The Company

Lusha is the leader in Sales Streaming – a new sales paradigm that streams top leads straight to salespeople and handles all the outreach, so they can escape the lead grind and just sell. Lusha’s Sales Streaming Platform is built around Sales Playlists that continuously fill up with their ideal prospects – think “Spotify for sales.” With AI doing the heavy lifting, Lusha uncovers great-fit leads salespeople never knew existed and executes tailored, perfectly timed cadences that get meetings booked. And the more you use Lusha, the smarter it gets. With Sales Streaming, salespeople spend most of their time face-to-face with relevant prospects, driving 4-6X more business.

About the Role

Here at Lusha, we power sales with data. Over 1.5M users and teams at Google, Spotify, and Elastic 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.

Key Skills

Data ArchitectureAI SystemsMicroservicesEvent-Driven DesignStreamingBatch ProcessingLakehouseCDCOrchestrationGovernanceSchema EvolutionPythonTypeScriptDatabricksKafkaKubernetesTerraform