Homeoffice Data Engineer Manager na Blend360

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.  

We are seeking an experienced Data Engineering Manager with strong expertise in Snowflake to lead our data engineering team. The ideal candidate will have a solid understanding of Snowflake architecture, design, implementation, and optimization to drive our data warehouse initiatives.

Key Responsibilities:

• Lead and mentor a team of data engineers, ensuring best practices in design, development, and delivery of data solutions.

• Architect, implement, and maintain data pipelines and ETL/ELT workflows leveraging AWS services, Python, and SQL.

• Collaborate with cross-functional stakeholders (analytics, BI, product, and business) to gather requirements and translate them into scalable technical solutions.

• Oversee data modeling, warehousing, and governance practices to ensure data quality, consistency, and security.

• Establish and maintain coding standards, peer reviews, and CI/CD practices for data engineering projects.

• Drive innovation by evaluating new tools, frameworks, and cloud-native services within the AWS ecosystem.

• Manage team resources, including hiring, coaching, and performance management.

• Ensure compliance with data security, governance, and privacy regulations (GDPR, CCPA, etc.).

Qualifications:

Required Skills

• 5+ years of experience in data engineering with at least 2 years in a leadership or managerial role.

• Strong expertise in AWS cloud services (e.g., S3, Redshift, Glue, Lambda, RDS).

• Proficiency in Python for data workflows and automation.

• Advanced knowledge of SQL for data modeling, transformations, and performance optimization.

• Proven experience building and managing scalable data pipelines and integrating data from multiple sources.

• Excellent leadership, communication, and collaboration skills, with the ability to work effectively across technical and non-technical teams.

Preferred Skills

• Familiarity with orchestration and workflow management tools (e.g., Airflow, Step Functions).

• Experience with modern data stack tools (e.g., dbt, Terraform, Docker, Kubernetes).

• Exposure to data lake/warehouse design patterns and BI ecosystems.

• Experience in client services, consultancy, or agency environments.

Deliverables You’ll Support:

• Development and optimization of scalable data pipelines.

• Technical guidance and mentoring for the data engineering team.

• Data modeling frameworks and best practices for analytics and reporting.

• Governance and compliance frameworks for secure and reliable data usage.

• Roadmaps for continuous improvement of data engineering processes and infrastructure.

📚 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. 

👩‍🏫 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.  

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.