Data Engineer - Lead

We are seeking an experienced Data Engineer - Lead to join our team. This role will lead our data engineering efforts, manage a team of data engineers, and work closely with stakeholders to deliver robust data solutions using Cloud technologies.

Responsibilities

• Lead and mentor a team of data engineers, fostering professional growth and technical excellence
• Architect, design, and implement scalable data pipelines and processing systems using AWS services
• Establish data engineering best practices, standards, and governance frameworks
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Drive technical vision and roadmap for data infrastructure and platforms
• Optimize existing data workflows for performance, reliability, and cost-effectiveness
• Provide technical leadership in designing data models and ETL/ELT processes
• Conduct code reviews and ensure high-quality implementations from team members
• Support stakeholders with data-related inquiries and problem-solving
• Present technical solutions to both technical and non-technical audiences

Requirements

Data Lake & Data Warehouse Expertise

• Proven experience designing and implementing enterprise data lake solutions
• Deep knowledge of data lake architecture patterns and best practices
• Experience with AWS Lake Formation and data cataloging solutions
• Strong understanding of data warehouse concepts, including star/snowflake schemas
• Hands-on experience optimizing query performance in data warehouse environments
• Knowledge of data partitioning, compression, and storage optimization techniques
• Experience implementing data governance and security controls across data platforms
• Understanding of medallion architecture (bronze/silver/gold) or similar data quality frameworks

Leadership & Soft Skills

• 2+ years of team leadership or management experience
• Proven ability to mentor junior engineers and develop team capabilities
• Excellent communication skills for collaborating with cross-functional teams
• Strong problem-solving abilities and analytical thinking
• Experience in translating business requirements into technical solutions
• Ability to manage multiple priorities in a fast-paced environment
• Customer-focused mindset with experience in stakeholder management

Data Engineering Core Principles

• Demonstrated expertise in implementing data pipeline patterns and architectures
• Strong understanding of data integration patterns and practices
• Experience with data validation and testing methodologies
• Knowledge of data security and compliance requirements

Good to Have Experience

• Experience with Databricks and Delta Lake architecture
• Knowledge of business intelligence tools, particularly PowerBI, Tableau and Qlik Sense
• Experience connecting data visualization tools to various data sources
• Familiarity with developing and maintaining data models for self-service analytics
• Experience with orchestrating end-to-end data pipelines from source systems through to visualization layers
• Understanding of semantic layer concepts and implementation approaches
• Cloud certifications (AWS Certified Data Analytics, Solutions Architect)