Tech Lead – DataOps

Talan

Tech Lead DataOps driving industrialization and automation for Cloud Data Warehouse. Leading transversal efforts in a multicultural environment with a focus on data workflows and platform stability.

Posted 5/30/2026contractRemote • 🇪🇸 SpainSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheDockerJenkinsKubernetesPythonSQLVault

About the role

Key responsibilities & impact

Lead the transversal platform and reliability efforts, driving industrialization, automation, CI/CD pipelines, and overall platform stability in a fully remote, multicultural environment.
Define and evolve technical standards, ensuring the reliability, scalability, and performance of data workflows.
Lead industrialization and automation initiatives across development and deployment processes, supporting multiple squads on DataOps best practices.
Contribute to technical roadmap definitions, architecture decisions, and continuous ecosystem improvements.
Design, maintain, and evolve internal development and deployment tooling around dbt, Airflow, and Snowflake.
Develop and optimize internal CLI tools for automated dbt model generation, YAML testing, DAG creation, and deployment automation.
Contribute to the integration of AI/LLM capabilities into development and DataOps workflows to reduce manual operations.
Design, implement, and maintain secure and automated multi-environment Data CI/CD pipelines.
Ensure deployment quality during release cycles, collaborating with project squads and supporting release governance.
Supervise, optimize, and design Apache Airflow orchestration workflows and execution DAGs.
Implement monitoring, alerting, and observability capabilities to maximize platform stability and operational efficiency.
Contribute to incident resolution and root cause analysis.

Requirements

What you’ll need

Strong knowledge and hands-on experience with Data Vault 2.0 methodology applied to enterprise data platforms.
Advanced proficiency in Python (focused on data platforms/automation) and SQL query optimization.
Solid hands-on experience with dbt and Apache Airflow (including DAG design and workflow optimization).
Good knowledge of DevOps practices using Git/GitLab, Jenkins, Docker, Kubernetes, and Snowflake (or equivalent MPP platforms).
Strong transversal technical leadership, an autonomous/proactive mindset, and excellent communication skills to collaborate with multicultural, distributed teams.
Professional proficiency in both English and French is required.
Nice to have skills: Experience with specific data modeling and automation tools like AutomateDV and DBSchema. Practical exposure to modern observability and data platform reliability practices. Experience or strong interest in integrating AI/LLM tooling (such as GitHub Copilot) into DataOps development and deployment workflows.

Benefits

Comp & perks

Employees can work remotely

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLData Vault 2.0dbtApache AirflowGitGitLabJenkinsDockerKubernetes

Soft Skills

transversal technical leadershipautonomous mindsetproactive mindsetexcellent communicationcollaboration