AWS Data Engineering Platform Lead
13 hours ago
Lion is a unique company that offers exciting opportunities for growth and development.
Job Description:We are seeking an experienced AWS Data Engineering Platform Lead to join our team. As the holder of this position, you will be responsible for leading a team focused on expanding and optimizing Lion's Data & Analytics platform. This role involves overseeing data ingestion, transformation, and provisioning to empower the Insights team.
Your key responsibilities will include:
- Leading and mentoring a data engineering team to drive continuous improvement and support business objectives.
- Designing and deploying high-performance data pipelines and architectures to meet business needs and enhance platform scalability.
- Implementing process and infrastructure optimizations to automate tasks, improve scalability, and ensure data integrity.
- Collaborating with stakeholders to resolve technical issues, support data needs, and drive platform innovation.
- Ensuring compliance with data governance standards and maintaining secure, well-documented data environments.
The ideal candidate will have:
- Strong technical expertise in data warehousing, data lakes, ETL processes, and data visualization.
- Advanced skills in SQL, Python, AWS (Athena, Redshift, Glue), and experience with Power BI and SAP (preferred).
- Deep understanding of data architecture and modeling best practices for scalability and security.
- Experience with Agile methodologies and design thinking principles.
- Bachelor's degree in computer science, Data Science, IT, or a related field.
Required experience includes:
- 12+ years in AWS Data Platform and Data Engineering roles.
- 10+ years in team leadership within data engineering or analytics functions.
- Proven experience in communication planning and execution for cross-functional initiatives.
- Strong presentation and interpersonal skills to engage stakeholders effectively.
We offer a competitive salary range of $175,000 - $250,000 per year, depending on experience.
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