Data Engineering Tech Lead

Description

Who we are

Founded in 2016, Lusha grew from a bootstrapped startup to a $1.5B unicorn, backed by $245M in investments and trusted by sales teams at Google, Zendesk, and Yotpo.

Lusha is changing the B2B sales experience with a new approach called Sales Streaming. It allows salespeople to search for any lead in the world, then our AI finds them better ones, keeps them streaming and does outreach for them. This means they can now spend most of their time actually selling.

With 1.5M+ users, 200M+ contacts, and 40K new signups every month, we’re the engine behind modern GTM teams. And we’re just getting started.

Where does this role fit in our vision?

At Lusha, data is everything—it’s at the heart of every product decision, every customer insight, and every strategic move we make. The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. This role sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of Lusha’s intelligent data services.

What will you be responsible for?

• Leading the design and evolution of scalable, high-quality data workflows—from batch pipelines to real-time data products.
• Setting and upholding engineering best practices across code quality, testing, CI/CD, observability, and documentation.
• Mentoring and empowering data engineers while fostering a high-performance, collaborative team culture.
• Identifying and executing on opportunities to create new data features and assets that enhance product capabilities.
• Driving architectural decisions around data modeling, storage, and compute in cloud environments (e.g., Databricks, Snowflake).
• Collaborating with cross-functional stakeholders—including Product, DevOps, and R&D—to ensure seamless delivery and platform excellence.
• Championing a data-driven mindset throughout the organization, balancing business context with technical rigor.

Here’s what we need from you:

• 5+ years of hands-on experience building and maintaining large-scale data pipelines (batch and streaming).
• Deep expertise in Python and SQL, with a focus on clean, reliable, and performant code.
• Strong problem-solving mindset with the ability to break down complex technical challenges and align solutions to business goals.
• Solid background in data modeling, analytics, and architecture design for scalability and cost-effectiveness.
• Experience working with modern OLAP systems and cloud data platforms like Databricks, Snowflake, or BigQuery.
• Nice to have: familiarity with AI agent protocols (e.g., A2A, MCP) and LLM-based technologies (e.g., vector databases, embeddings) for intelligent data applications.
• AI-savvy: comfortable working with AI tools and staying ahead of emerging trends.

We’re dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. At Lusha, your work matters. Your voice is heard. And your growth is part of our growth.

Ready to join us? Let’s build the future of sales, together.

Requirements