Data Engineer Lead

INGEPSY; Bogotá ciudad; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS certifications

AI learning paths

Udemy access

English lessons

Travel opportunities

Mentoring programs

Flexible work options

Equipment provided

Descripción de la vacante

INGEPSY is seeking a Lead Data Engineer to design and implement scalable Snowflake-based data platforms and end-to-end ELT pipelines on AWS. This client-facing leadership role requires strong communication, governance, and proactive problem solving to ensure high-quality, reliable data workflows.

The candidate will drive data validation, monitoring, and architecture decisions, shaping data governance and best practices across LATAM engagements.

Formación

• 5+ years of experience in data engineering.
• Strong hands-on Snowflake expertise.
• Experience building ELT pipelines and data ingestion solutions.
• Solid SQL and large-scale data processing experience.
• Medallion Architecture knowledge and AWS data pipelines are a plus.

Responsabilidades

• Design and implement data ingestion architectures in Snowflake for scalability and reliability.
• Own end-to-end ELT pipelines integrating multiple data sources.
• Design and enforce data quality frameworks, including validation rules and monitoring.
• Apply Medallion Architecture best practices across data pipelines.
• Lead data engineering practices, governance, and pipeline reliability.

Conocimientos

Data engineering

Leadership

Communication

Herramientas

Snowflake

AWS

dbt

Glue

Athena

EMR

Terraform

CloudFormation

Descripción del empleo

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

What are we looking for?

• 5+ 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 (Plus).
• Experience building and maintaining data pipelines in AWS (Must)
• Experience with Clean room (e.g., AMC) (Plus)
• Experience with CI/CD pipelines for data workflows (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.

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.