Lead Data Engineer (Medellin or Bogota)
ColombiaFull-TimeLeadSoftware Engineering
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.
- With the right people and the right ideas, there’s no limit to what we can achieve.
Are you a fit?
- Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
📍 Location & Work Model
- Location: Bogotá or Medellín, Colombia
- Work model: Hybrid — 3 days onsite / 2 days remote
Migration Strategy & Execution
- Define and lead the end-to-end migration strategy from BigQuery, Athena, and PySpark to Snowflake.
- Design, develop, and implement scalable ELT pipelines using Airflow for orchestration and dbt for transformations.
- Build robust data validation and reconciliation processes to ensure accuracy and integrity throughout the migration.
- Define and lead the end-to-end migration strategy from BigQuery, Athena, and PySpark to Snowflake.
Design, develop, and implement scalable ELT pipelines using Airflow for orchestration and dbt for transformations.
- Build robust data validation and reconciliation processes to ensure accuracy and integrity throughout the migration.
Architectural Leadership
- Design and optimize scalable data models and schemas in Snowflake, ensuring performance, cost efficiency, and maintainability.
- Establish and enforce best practices, coding standards, and CI/CD pipelines for the dbt/Snowflake environment.
- Partner with data architects, product owners, and stakeholders to translate business needs into technical solutions.
- Design and optimize scalable data models and schemas in Snowflake, ensuring performance, cost efficiency, and maintainability.
- Establish and enforce best practices, coding standards, and CI/CD pipelines for the dbt/Snowflake environment.
- Partner with data architects, product owners, and stakeholders to translate business needs into technical solutions.
Team Leadership & Mentorship
- Lead, mentor, and coach a team of data engineers, fostering a culture of technical excellence and continuous learning.
- Conduct code reviews and guide adoption of new tools and methodologies.
- Oversee planning, resource allocation, and delivery of data engineering initiatives.
- Lead, mentor, and coach a team of data engineers, fostering a culture of technical excellence and continuous learning.
- Conduct code reviews and guide adoption of new tools and methodologies.
- Oversee planning, resource allocation, and delivery of data engineering initiatives.
Data Governance & Quality
- Ensure compliance with data security and privacy regulations.
- Proactively identify and resolve data quality issues, performance bottlenecks, and reliability challenges.
- Ensure compliance with data security and privacy regulations.
- Proactively identify and resolve data quality issues, performance bottlenecks, and reliability challenges.
Stakeholder Communication
- Clearly communicate plans, progress, and risks to technical and non-technical stakeholders.
- Collaborate closely with analytics, data science, and operations teams.
- Clearly communicate plans, progress, and risks to technical and non-technical stakeholders.
- Collaborate closely with analytics, data science, and operations teams.
Must-have Skills (Remember to include years of experience)
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field (Master’s preferred).
- 5+ years of experience in data engineering, with at least 3 years in a lead or leadership role.
- Proven experience leading data migration projects between cloud data warehouses.
- Extensive hands-on experience with Snowflake, including performance tuning and cost optimization.
- Strong mastery of dbt for data modeling, testing, and documentation.
- Solid experience with Apache Airflow for orchestration and pipeline management.
- Expert-level SQL skills and query performance tuning.
- Proficiency in Python for data processing, automation, and scripting.
- Strong knowledge of data warehousing concepts, dimensional modeling, and ELT/ETL processes.
- Familiarity with PySpark, Athena, and BigQuery as source systems.
- Experience with Git/GitHub and CI/CD practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to thrive in a fast-paced, agile environment.
- English level: Fluent (spoken and written).
Proficiency in Python for data processing, automation, and scripting.
- Strong knowledge of data warehousing concepts, dimensional modeling, and ELT/ETL processes.
Experience with Git/GitHub and CI/CD practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to thrive in a fast-paced, agile environment.
Nice-to-have
- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
- Experience with data governance frameworks and metadata management.
- Exposure to cloud cost management and FinOps practices.
- Background working with cross-functional global teams.
AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
- Experience with data governance frameworks and metadata management.
- Exposure to cloud cost management and FinOps practices.
- Background working with cross-functional global teams.
What we offer
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
- *Specific benefits are determined by the employment type and location.
- Find out more about our culture here.
