Lead Data Engineer

Blend; Región Centro; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS/Databricks/Snowflake certs

AI learning paths

Study plans & certifications

Udemy Business access

English lessons

Travel opportunities

Career development & mentorship

Special day rewards

Company equipment

Flexible working options

Descripción de la vacante

Blend is seeking a Lead Data Engineer to design and implement scalable data ingestion on Snowflake-based platforms. This client-facing leadership role combines deep technical expertise with strong communication to ensure high-quality, governed data pipelines powering analytics for enterprise clients.

You will lead end-to-end ELT pipelines on AWS, enforce data quality, and apply Medallion Architecture across projects, while guiding best practices in governance and pipeline reliability.

Formación

• 4+ years in Data Engineering
• Snowflake hands-on experience
• ELT pipelines and ingestion
• SQL and large-scale processing
• Medallion Architecture expertise
• AWS data pipelines experience
• Data quality, validation and governance
• Snowflake Cortex familiarity
• CI/CD for data workflows
• Iceberg tables and data sharing
• dbt, Glue, Athena, EMR, Lambda, Terraform or CloudFormation

Responsabilidades

• Lead Snowflake data ingestion design for scalable architectures
• Develop end-to-end ELT pipelines across sources
• Design data quality frameworks and validation rules
• Apply Medallion Architecture across pipelines
• Build data pipelines on AWS (S3, Glue, Lambda, EMR)
• Enhance data validation frameworks and UI components (Streamlit)
• Serve as technical leadership for governance and reliability
• Identify risks and bottlenecks and mitigation strategies
• Contribute to data governance, lineage, stewardship
• Drive documentation and continuous improvement of processes

Conocimientos

Data Engineering

Snowflake

ELT Pipelines

SQL

Medallion Architecture

AWS

Data Quality

CI/CD

DBT

Iceberg Tables

Herramientas

Glue

Athena

EMR

Lambda

Terraform

CloudFormation

Streamlit

Descripción del empleo

Blendis 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

Job Description

We’re 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 is a client-facing leadership role, ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows.

What will you be doing?

• Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
• Own the 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 and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.
• Build and optimize 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.
• Proactively identify risks, bottlenecks, and data quality issues, and implement mitigation strategies before they impact delivery.
• Contribute to data governance initiatives, including data definitions, lineage, and stewardship practices.
• Drive documentation and continuous improvement of data platform processes.

Qualifications

• 4+ years of experience in Data Engineering (strong senior-level or lead mindset expected).
• Strong hands-on experience with Snowflake (Must).
• Strong experience building ELT pipelines and data ingestion solutions.
• Solid experience with SQL and large-scale data processing.
• Strong understanding and hands-on experience with Medallion Architecture (Must).
• Experience building and maintaining data pipelines in AWS (Plus).
• Experience with data quality, validation frameworks, and governance practices.
• Familiarity with Snowflake Cortex (Plus).
• Experience with CI/CD pipelines for data workflows (Plus).
• Experience with Iceberg tables and Snowflake data sharing (Plus).
• Experience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation (Plus).

Additional Information

Our Perks and Benefits:

• 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.
• Career development plans and mentorship programs to help shape your path.
• 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.