Lead Data & Systems Engineer – Growth & Lead Acquisition (Java, Python, Typescript..)

About the Role

We are searching for a flexible, business-savvy engineer to own our end-to-end LeadGen and Lead Allocation pipelines. You should be comfortable working across a variety of languages (Java, Python, TypeScript, etc.) and adept at rapidly prototyping solutions to meet business needs. Think of this role as “mini-CTO” for our lead acquisition and enrichment processes, where you’ll ensure high-quality leads flow seamlessly from external sources to internal systems like Salesforce.

Why This Role Is Different:

Rather than seeking a narrowly focused Java developer, we need a creative problem-solver who can build and integrate data pipelines, orchestrate workflows, perform large-scale data transformations, and quickly pivot between technologies. If you thrive on learning new APIs, building POCs in days (not weeks), and delivering production-grade systems, this position is for you.

You'll Spend Time on the Following:

💡 End-to-End System Design

1. Architect, develop, and maintain microservices or stand-alone scripts for lead acquisition and data enrichment.

2. Flex between Java/Spring Boot, Python scripting, or TypeScript-based frameworks depending on project needs.

3. Own the entire lifecycle: from initial prototype to scalable, production-ready deployments.

⚙️ Workflow Orchestration & Automation

1. Set up and maintain workflow orchestration using tools like Temporal, Airflow, or similar.

2. Design resilient pipelines for data scraping, transformation, deduplication, and enrichment.

3. Build in safeguards for data consistency and error handling, ensuring minimal downtime.

🔍 Data Acquisition & Enrichment

1. Integrate with various external APIs (e.g., Apify, web scraping solutions) and internal data warehouses (EDW, BigQuery).

2. Ensure data is enriched, cleaned, and deduplicated, leveraging advanced matching or ML-based algorithms.

3. Pull in real-time or batch data from multiple sources to create a single, unified lead record.

🚀 Prototype Fast, Scale Effectively

1. Rapidly develop proof-of-concept solutions to validate business ideas.

2. Gather feedback from stakeholders, iterate quickly, and prepare for production deployment once validated.

3. Own the “fail fast, learn fast” approach—optimizing for both agility and reliability.

🛠 Infrastructure & Deployment

1. Containerize applications or scripts using Docker; collaborate on orchestration (Kubernetes, Docker Swarm, etc.).

2. Participate in CI/CD processes, ensuring automated builds, tests, and deployments.

3. Monitor and troubleshoot system performance, actively proposing optimizations.

📈 Business Collaboration & Ownership

1. Translate business objectives and lead-gen strategies into technical projects.

2. Partner with product managers, marketing, and sales stakeholders to refine requirements and roadmap.

3. Serve as the "go-to" technical advisor for anything related to lead data flows, from concept to final delivery.

💾 Database & Analytics

1. Work with PostgreSQL or other relational databases to model entities, handle migrations, and tune performance.

2. Integrate BigQuery for large-scale data processing and analytics.

3. Explore advanced queries or analytics to enhance lead scoring and enrichment logic.

🔐 Security & Best Practices

1. Implement secure coding patterns, data validations, and compliance measures for sensitive data.

2. Conduct code reviews, encourage testing automation, and champion clean coding standards.

💻 Frontend (Optional, But Nice to Have)

1. If comfortable, contribute to or lead the development of a future UI in React, Angular, or Vue.js.

2. Collaborate with product and UX teams to ensure intuitive, seamless user interactions with lead data.

Skills & Experience Required:

✅ Technical Breadth:

1. Comfort with multiple programming languages (e.g., Java, Python, TypeScript).

2. Experience building RESTful APIs, data pipelines, and containerized microservices.

✅ Prototyping Skills:

1. Proven track record of rapidly creating MVPs or PoCs and iterating into full production systems.

✅ Data Mastery:

1. Familiarity with data manipulation at scale: scraping, ETL pipelines, schema design, and deduplication strategies.

2. Knowledge of workflow orchestration platforms (Temporal, Airflow, or similar).

✅ Business Mindset:

1. Ability to understand growth objectives and translate them into actionable tech solutions.

2. Experience working directly with non-technical stakeholders (Sales, Marketing) and turning requirements into specs.

✅ Ownership & Leadership:

1. Comfortable making architecture decisions and justifying trade-offs to both technical and business teams.

2. Able to take initiative and drive features from concept to completion with minimal oversight.

🎯 Bonus Points If You Have:

1. Experience with DevOps practices, Kubernetes, or advanced container orchestration.

2. Familiarity with front-end frameworks (React, Angular, or Vue.js).