Data Engineer Lead

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We’re looking for a Lead Data Engineer with strong expertise in SQL, dbt, and Athena, with experience building modern data transformation and ELT solutions. Experience with AWS data services is a plus, but the primary focus will be on developing and optimizing Athena SQL queries and dbt workflows.

This is a client-facing leadership role, ideal for engineers who combine strong technical expertise with excellent communication skills and a proactive mindset. You will play a key role in building reliable, scalable, and high-quality data pipelines that support critical business and analytics workflows.

What will you be doing?

• Lead the design and implementation of data ingestion and transformation solutions using SQL and dbt, ensuring scalability, reliability, and maintainability.

• Own the development of end-to-end ELT pipelines using dbt and Athena to transform and process data from multiple sources.

• Design and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.

• Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.

• Develop and optimize Athena SQL queries and dbt models to support scalable data transformation and analytics workflows.

• Develop and enhance data validation and ingestion frameworks, including UI components (Streamlit-based) when needed.

• Act as a technical leader, guiding best practices in SQL, dbt, data engineering, governance, and pipeline reliability.

• Proactively identify risks, bottlenecks, and data quality issues, and implement mitigation strategies before they impact delivery.

• Drive documentation and continuous improvement of data platform processes.

Qualifications

What are we looking for?

• 5+ years of experience in Data Engineering (strong senior-level or lead mindset expected).

• Strong hands-on experience with SQL (Must).

• Strong hands-on experience with dbt (Must).

• Strong experience building ELT pipelines and data transformation solutions.

• Strong experience working with AWS Athena and writing complex SQL queries.

• Solid understanding of data modeling and large-scale data processing.

• Experience with AWS services and data platforms (Plus)

• Experience with tools such as Glue, S3, EMR, Lambda, Terraform, or CloudFormation (Plus).

Our Perks and 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.