Data Architect/Lead

Job description

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Design, build and maintain core data
infrastructure pieces that allow Aircall to support our many data use cases.

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Enhance the data stack, lineage monitoring and
alerting to prevent incidents and improve data quality.

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Implement best practices for data management,
storage and security to ensure data integrity and compliance with regulations.

●    
Own the core company data pipeline, responsible
for converting business needs to efficient & reliable data pipelines.

●    
Participate in code reviews to ensure code
quality and share knowledge.

●    
Lead efforts to evaluate and integrate new
technologies and tools to enhance our data infrastructure.

●    
Define and manage evolving data models and data
schemas. Manage SLA for data sets that power our company metrics.  

●    
Mentor junior members of the team, providing
guidance and support in their professional development.

●    
Collaborate with data scientists, analysts and
other stakeholders  to drive efficiencies
for their work, supporting complex data processing, storage and orchestration

A little more about
you:

●    
Bachelor's degree or higher in Computer
Science, Engineering, or a related field.

●    
10+ years of experience in data engineering,
with a strong focus on designing and building data pipelines and
infrastructure.

●    
Proficient in SQL and Python, with the ability
to translate complexity into efficient code.

●    
Experience with data workflow development and
management tools (dbt, Airflow).

●    
Solid understanding of distributed computing
principles and experience with cloud-based data platforms such as AWS, GCP, or
Azure.

●    
Strong analytical and problem-solving skills,
with the ability to effectively troubleshoot complex data issues.

●    
Excellent communication and collaboration
skills, with the ability to work effectively in a cross-functional team
environment.

●    
Experience with data tooling, data governance,
business intelligence and data privacy is a plus.