Lead Data Engineer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• **Core Responsibilities** **Data Platform Architecture & Development – 40%**

• - Design and implement scalable data architecture encompassing ingestion, storage, and serving layers

• - Construct and maintain ETL/ELT pipelines that integrate various SaaS platforms and internal systems

• - Create data models that support analytics, reporting, and AI applications

• - Enhance database performance, schema design, and query efficiency

• - Develop documentation and data standards to facilitate cross-team usability

• **Engineering Oversight & Standards – 25%**

• - Evaluate code and architectural decisions made by the engineering team

• - Establish and enforce best practices for testing, documentation, and deployment

• - Identify and prioritize technical debt in relation to urgent delivery requirements

• - Diagnose and resolve production issues across various systems

• **AI Systems Technical Review – 20%**

• - Assess LLM-powered pipelines for reliability, cost-effectiveness, and scalability

• - Review prompt structures, structured outputs, and error-handling mechanisms

• - Ensure clean and structured data flows into AI systems

• - Advise on enhancements in embeddings, vector storage, and evaluation datasets

• **Data Integration & Operations – 15%**

• - Oversee integrations with CRMs, ATS platforms, and other SaaS tools

• - Manage API limitations, schema modifications, and data inconsistencies

• - Guarantee high data quality and pipeline reliability

• - Assist cross-functional teams with data accessibility and insights

⛳️ Requirements

• **Must-Haves (Required)**

• - 5–8 years of experience in data engineering or software engineering

• - At least 2–3 years of experience in building and managing production data platforms

• - Strong expertise in Python and SQL

• - Background in PostgreSQL or equivalent relational databases (schema design, optimization)

• - Practical experience in constructing ETL/ELT pipelines from SaaS APIs

• - Familiarity with orchestration tools (Airflow, Dagster, Prefect, or similar)

• - Solid understanding of LLM systems, prompt engineering, and embeddings

• - Experience in establishing engineering standards (code review, testing, documentation)

• - Experience working with AWS or GCP

• - Strong written and verbal communication skills in English

• - Capability to operate effectively in a remote, asynchronous setting

• **Nice-to-Haves (Preferred)**

• - Experience in staffing, recruitment, or HR tech environments

• - Knowledge of workflow automation tools

• - Familiarity with AI agent frameworks

• - Experience integrating with CRM and ATS platforms

• - Understanding of data governance practices (lineage, cataloging, access control)

• - Experience with event-driven or streaming architectures

• - Familiarity with infrastructure-as-code tools

• - Basic frontend experience for the development of internal tools

🏝️ Benefits

• **What You’ll Gain:**

• - Performance Bonus

• - Fully remote work, forever

• - Annual team retreat

• - Unlimited PTO (PH Based)

• - Real-world experience in recruitment marketing and sourcing

• - An insider’s perspective on how we connect individuals with opportunities

• - A supportive team that values your growth and ideas