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Snowflake Lead Data Engineer Job Opening In Bogotá – Now Hiring Teams Plus


Job description

About Us

At Teams Plus, we're building the next-generation
AI Analytics Platform
that transforms raw telecom and contact-center data into actionable insights for high-velocity operations.

Our stack centers on
Snowflake + Sigma + AI orchestration
, powering intelligent dashboards and future-ready features like conversational analytics, predictive alerts, and workflow automation.

We're looking for a
Data Engineer
who's excited to shape the foundation of this vision.

You won't just build pipelines — you'll architect the backbone that fuels AI-driven insights for thousands of users across North America.

Why This Role Matters

As one of our first dedicated Data Engineers, you'll:


• Own the
end-to-end data flow
— from ingestion to analytics-ready models.


• Enable the team to
scale quickly
by building reusable, modular pipelines.


• Guarantee the
trustworthiness and reliability
of our customer-facing dashboards.


• Directly influence how our platform evolves into a
global AI-powered product
.

This is a
builder role
: you'll have autonomy, visibility, and the chance to set best practices that define how our data stack grows.

What You'll Do

Design and Develop


• Architect and maintain scalable ELT pipelines into Snowflake.


• Transform raw data into curated, analytics-ready datasets.


• Implement automated data quality checks, lineage tracking, and schema management.

Collaborate and Lead


• Work closely with engineers, analysts, and product managers to meet fast-evolving data needs.


• Serve as the
technical owner
of data modeling best practices (star schemas, dimensional models, dbt conventions).


• Participate in agile ceremonies, code reviews, and roadmap discussions to align engineering with business goals.

Innovate and Future-Proof


• Explore and implement real-time or event-based ingestion where it makes sense.


• Leverage infrastructure-as-code (Terraform, CI/CD pipelines) to ensure reliable deployments.


• Contribute ideas for how AI/ML models can be powered with high-quality data pipelines.

What We're Looking For


• 3+ years of experience in data engineering or backend engineering focused on data workflows.


• Strong SQL fluency with cloud warehouses (Snowflake preferred; BigQuery or Redshift welcome).


• Hands-on experience with ELT orchestration (dbt, Airflow, Dagster, or similar).


• Proficiency in Python for data transformations, automation, and tooling.


• Experience working in cloud environments (Azure is a plus; AWS/GCP acceptable).


• Understanding of data governance, privacy, and secure access control.


• Conversational to professional English for distributed team collaboration.

Bonus Points If You Have


• Built integrations with enterprise SaaS systems (Salesforce, HubSpot, NetSuite).


• Worked with event-streaming tools (Kafka, Kinesis, Pub/Sub).


• Set up CI/CD pipelines for data infra (GitHub Actions, Azure DevOps).


• Monitored data pipelines with tools like DataDog or Prometheus.


• Curiosity about how
AI and data engineering intersect
(feature stores, ML data prep).

Why Join Us



Impact
: Your work directly powers customer-facing dashboards used daily by global clients.



Growth
: Be part of a fast-scaling product team where your voice shapes architecture and culture.



Tech Stack
: Modern and cloud-native — Snowflake, dbt, Airflow, Sigma, Azure.

  • Experience experimenting with Snowflake Cortex (Cortex Analyst, functions, vector search) to enable conversational analytics.

  • Culture
    : We value curiosity, collaboration, and the drive to build things that last.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Snowflake Lead Potential: Insight & Career Growth Guide


Real-time Snowflake Lead Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Snowflake Lead in Bogotá, Colombia, highlighting market share and opportunities for professionals in Snowflake Lead roles.

12978 Jobs in Colombia
12978
565 Jobs in Bogotá
565
Download Snowflake Lead Jobs Trends in Bogotá and Colombia

Are You Looking for Snowflake Lead Data Engineer Job?

Great news! is currently hiring and seeking a Snowflake Lead Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Teams Plus adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Snowflake Lead Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bogotá. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Snowflake Lead Data Engineer?

Key qualifications for Snowflake Lead Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Snowflake Lead Data Engineer?

To improve your chances of getting hired for Snowflake Lead Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Snowflake Lead Data Engineer Job Success

Teams Plus interview tips for Snowflake Lead Data Engineer

Here are some tips to help you prepare for and ace your Snowflake Lead Data Engineer job interview:

Before the Interview:

Research: Learn about the Teams Plus's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Snowflake Lead Data Engineer interview at Teams Plus, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Teams Plus's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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