[Hiring] Data Engineering Manager @Blend360

Role Description

We are seeking a Data Engineering Manager to contribute to our next level of growth and expansion.

• Design, implement, and maintain scalable data pipelines and ETL jobs for processing and transferring large data volumes.
• Manage data ingestion from multiple external sources (e.g., pharmacy data) through AWS cloud environments to client on-premise servers.
• Collaborate with cross-functional teams to ensure data governance, quality, and security.
• Oversee and mentor a team of Data Engineers, ensuring adherence to best practices in development and deployment.
• Define architecture using AWS CDK and CloudFormation for infrastructure as code.
• Partner with clients to gather requirements, assess business goals, and deliver tailored data solutions.
• Integrate and optimize tools such as Snowflake, Databricks, and Lake Formation for advanced data processing.
• Implement data clean rooms and support privacy-compliant data-sharing solutions.
• Monitor data workflows, troubleshoot issues, and ensure high availability of systems.
• Stay current on modern data engineering technologies and recommend improvements.

Qualifications

• Proven experience as a Data Engineer or Data Engineering Manager, with a strong background in building and maintaining data pipelines and ETL processes.
• Proficiency in Python, TypeScript, and AWS (including CDK, CloudFormation, S3, Lambda, SQS, Athena, CloudWatch, DeltaLake and Glue).
• Solid understanding of data governance, data quality, and data lifecycle management.
• Experience with Snowflake, Databricks, Lake Formation, and Data Lakes is a strong plus.
• Hands-on experience designing cloud-based architectures and deploying secure data solutions.
• Excellent communication and consulting skills — ability to engage directly with clients and translate business requirements into technical solutions.
• Experience leading or mentoring technical teams.
• Strong analytical and problem-solving mindset.

Requirements

• Excellent written and verbal English for clear and effective communication with the team.
• At least 5 years of experience in similar roles.

Benefits

• Learning Opportunities:
  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
• Mentoring and Development:
  • Career development plans and mentorship programs to help shape your path.
• Celebrations & Support:
  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.
• Flexible working options to help you strike the right balance.
• Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.