Lead Data Engineer

About the role

We are looking for a Lead Data Engineer with strong expertise in Snowflake‑based data platforms, modern data architectures, and AWS to lead the design and implementation of scalable ingestion and validation solutions for a leading enterprise client. This client‑facing leadership role combines deep technical expertise with strong communication skills.

Key responsibilities

• Lead design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
• Own development of end‑to‑end ELT pipelines integrating multiple data sources.
• Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.
• Apply Medallion Architecture best practices across data pipelines.
• Build and optimise data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.).
• Develop and enhance data validation and ingestion frameworks, including UI components (Streamlit‑based) when needed.
• Act as a technical leader, guiding best practices in data engineering, governance, and pipeline reliability.
• Identify risks, bottlenecks, and data quality issues proactively and implement mitigation strategies.
• Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices.
• Drive documentation and continuous improvement of data platform processes.

Required profile

• 5+ years of experience in data engineering with a senior or lead mindset.
• Strong hands‑on experience with Snowflake.
• Proven ability to build ELT pipelines and data ingestion solutions.
• Solid SQL skills and experience with large‑scale data processing.
• Understanding of Medallion Architecture (Bronze, Silver, Gold).
• Experience building and maintaining data pipelines on AWS.

Required skills

• Snowflake
• SQL
• AWS services (S3, Glue, Lambda, EMR, Athena)
• Medallion Architecture
• dbt
• Terraform or CloudFormation
• Streamlit (for UI components)
• CI/CD pipelines for data workflows

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake, AI learning paths, Udemy Business, English lessons.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and career development plans.
• Special day rewards for birthdays, work anniversaries, and other milestones.
• Company‑provided equipment and flexible working options.