Company Overview:
Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections present numerous opportunities for professionals to advance their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.
Position Title: Senior Data Architect
Location: Remote - Colombia
What you will be doing:
We are seeking the senior-most technical leader and design authority for our Enhance & Operate program. This is a hands-on leadership position with a primary focus on operational stability (80%) and a secondary focus on strategic enhancement (20%). The successful candidate will serve as the ultimate escalation point for complex technical issues, taking direct ownership of resolving critical P1 and P2 incidents to ensure the long-term stability of the Snowflake Data Warehouse. Concurrently, this role will provide strategic direction for key initiatives, including the migration of legacy ETL processes from Informatica to Azure Data Factory (ADF) and the design of new integrations with on-premise systems such as SQL Server and IBM DB2. Your responsibilities include:
- Serve as the ultimate escalation point by directly leading the investigation and resolution of critical P1/P2 incidents and systemic production issues to ensure the long-term stability of the Snowflake Data Warehouse.
- Lead the high-priority migration of remaining legacy ETL pipelines from Informatica to Azure Data Factory (ADF) in conjunction with the decommissioning of SQL Server.
- Design and architect end-to-end solutions for new data integrations, ensuring seamless interaction between the modern cloud data platform and legacy on-premises systems, including SQL Server and IBM DB2.
- Enhance system performance and reliability by refactoring complex code deployment pipelines in Azure DevOps and developing comprehensive system observability dashboards.
- Establish and enforce technical governance by setting data engineering standards for coding conventions, CI/CD processes, and data quality, acting as the final design authority for significant code modifications.
- Mentor and upskill Data Engineers and Visualization Engineers by providing expert technical guidance, conducting thorough code reviews, and fostering a culture of technical excellence
Requirements & Qualifications
To excel in this role, you should possess:
- Extensive experience as a Data Architect or Lead Engineer within complex cloud environments.
- Expert-level proficiency in Snowflake, with a focus on managing and ensuring long-term platform stability.
- Advanced expertise in the Azure cloud platform. Deep knowledge of legacy data systems, including SQL Server and IBM DB2, for designing end-to-end data integrations.
- Demonstrated expertise in migrating complex ETL/ELT logic from legacy platforms like Informatica to modern data stacks, specifically Azure Data Factory (ADF). Proven, hands-on track record of personally owning and resolving high-priority P1/P2 production incidents.
- Experience establishing technical governance and setting standards for data engineering, including coding conventions and CI/CD best practices.
- Advanced proficiency with Azure DevOps, particularly in refactoring and optimizing code deployment pipelines
Desired Skills:
- Experience with Control-M for job scheduling and orchestration.
- Experience with CI/CD practices using Azure Pipelines. Familiarity with IT Service Management (ITSM) frameworks and tools, particularly ServiceNow.
- Familiarity with the Azure DevOps suite for managing the software development lifecycle.
- Previous experience working within a consulting or client-facing environment.
Why you will love Lean Tech:
Join a powerful tech workforce and help us change the world through technology
Professional development opportunities with international customers
Collaborative work environment
Career path and mentorship programs that will lead to new levels.
Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will be vital to our continued success. Lean Tech is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
