Senior Data Lead Opportunity

Join Ollion as a Senior Data Lead and drive transformative data engineering solutions for ambitious organizations worldwide. We value innovation, independence, and diversity, fostering a remote-first culture that supports professional growth and meaningful impact. As a technical leader, you will architect scalable data systems, mentor talented engineers, and collaborate with stakeholders to deliver game-changing results.

Job Overview

• Lead and mentor data engineering teams in a collaborative, fully remote environment.
• Architect, design, and implement scalable data pipelines using modern cloud technologies.
• Champion data engineering best practices, governance, and technical excellence.
• Collaborate with cross-functional stakeholders to deliver actionable data solutions.
• Drive innovation while maintaining a customer-focused approach and business impact.

Key Responsibilities

• Lead and mentor a team of data engineers, fostering growth and technical excellence.
• Architect and implement scalable data pipelines and processing systems (AWS, GCP, Azure).
• Establish and enforce data engineering standards and governance frameworks.
• Collaborate with stakeholders to gather requirements and align data architecture.
• Drive technical vision for data infrastructure, optimizing workflows for performance and cost.
• Conduct code reviews and ensure maintainable, scalable solutions.
• Automate and orchestrate complex data pipelines, reducing manual effort.
• Support pre-sales engagements and develop reusable frameworks to accelerate delivery.
• Maintain cloud certifications and contribute to thought leadership initiatives.

Required Skills & Qualifications

• Minimum 10 years in data engineering or related roles, with 2+ years in team leadership.
• Expertise in Python and SQL for scalable data solutions.
• Hands-on experience with cloud platforms (AWS, GCP, Azure), Databricks, and Delta Lake.
• Strong knowledge of data lake, data warehouse concepts, and real-time streaming technologies.
• Proven skills in data modeling, ETL/ELT design, and pipeline orchestration.
• Excellent communication, collaboration, and stakeholder engagement abilities.
• Experience with Agile methodologies and leading cross-functional teams.
• Relevant cloud certifications (e.g., AWS Data Analytics, Google Data Engineer).
• Understanding of data governance, privacy, and compliance regulations.
• Commitment to diversity, inclusion, and fostering a collaborative culture.