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Data Engineering Leadership - Snowflake on AWS

Archer Recruitment

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Original Job Summary

About the Role

Data Engineering Leadership - Snowflake on AWS offers an exciting opportunity to build a cloud-native data strategy from scratch at a fast-growing start-up. This fully remote role includes equity, shares, and a competitive salary package.

Role Responsibilities

  • Lead the transition from legacy databases to a Snowflake-based data platform on AWS.
  • Drive the build and optimization of ELT/LTE pipelines and CI/CD in AWS (Glue, Lambda, S3, MSK).
  • Guide and shape the data engineering team in a tech-first, product-driven culture.

What You’ll Bring

  • 1-3 years of experience in Data Engineering.
  • AWS expertise with services such as Glue, Lambda, S3, MSK.
  • Proficiency with Snowflake and advanced SQL skills.

Package & Benefits

Competitive base salary of €65,000 - €80,000, equity, pension, fully remote flexibility, and 22 days holidays.

Key skills/competency

  • Data Engineering
  • Snowflake
  • AWS
  • SQL
  • AI
  • ELT
  • CI/CD
  • Start-up
  • Cloud-native
  • Leadership

How to Get Hired at Archer Recruitment

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight Snowflake and AWS experience.
  • Showcase leadership: Emphasize team management projects.
  • Research Archer Recruitment: Understand their fast-growing culture.
  • Prepare AWS scenarios: Practice technical problem solving.

📝 Interview Preparation Advice

Technical Preparation

Review AWS Glue, Lambda, S3, MSK.
Practice Snowflake SQL queries.
Study data pipeline architectures.
Update knowledge on cloud migration.

Behavioral Questions

Explain past leadership experiences.
Describe problem-solving on data projects.
Discuss handling team conflicts.
Share examples of innovation in projects.