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
, adecuado 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.
#J-*****-Ljbffr

📌 Data Engineer Lead (Bogotá)
🏢 Ingepsy
📍 Bogotá