Lead Data Engineer

Job Summary

We are seeking an experienced Data Lead with a strong data and cloud background to lead the design, development, and delivery of scalable data solutions. The ideal candidate is a hands-on technical leader who collaborates closely with both IT and business stakeholders, driving data initiatives from concept to execution.

This role requires deep expertise in Data Warehousing, Snowflake, AWS, and data modeling, along with strong communication skills and a proactive mindset.

Roles and Responsibilities

• Lead end-to-end data platform and data warehousing initiatives, ensuring scalability, performance, and reliability
• Act as a hands-on technical lead, actively contributing to design, development, and optimization of data solutions
• Design and implement data models (including Data Vault) aligned with business requirements
• Build and maintain cloud-based data solutions using AWS and Snowflake
• Develop and optimize SQL and Python pipelines for data ingestion, transformation, and analytics
• Collaborate closely with business teams and IT to translate business needs into technical solutions
• Guide and mentor data engineers, ensuring best practices and high-quality deliverables
• Ensure data quality, governance, security, and performance standards are met
• Proactively identify opportunities for process improvements and architectural enhancements
• Participate in architecture discussions and contribute to data strategy and roadmap

Required Skills & Qualifications

• 8+ years of experience in Data Engineering / Data Warehousing
• Strong Data & Cloud background, with hands-on experience in AWS
• Extensive experience with Snowflake (architecture, performance tuning, cost optimization)
• Strong expertise in SQL and Python
• Solid experience in Data Modeling, including Data Vault
• Proven experience leading or acting as a technical lead on data projects
• Strong understanding of modern data warehousing concepts and best practices
• Excellent communication and stakeholder management skills
• Ability to work in a collaborative role between IT and business teams
• Proactive, self-driven, and a quick learner

Preferred Qualifications

• Experience with CI/CD pipelines for data workflows.
• Familiarity with data governance, metadata management, and security best practices.
• Exposure to big data technologies (Spark, Kafka) is a plus.
• Experience in Agile/Scrum environments.