Our client is a global leader in investment banking, asset management and financial services. They are hiring for VP – Data Engineering with expertise in Snowflake and Python. This role will lead the development of robust, scalable, and efficient data systems serving as a central data integration and delivery platform. This platform is a critical enabler for ensuring that calculation outputs and other key datasets originating in our division reach downstream clients reliably, accurately, and in compliance with stringent service-level agreements.
Key Responsibilities
- Architect and develop resilient data pipelines and integration frameworks to distribute financial data to internal and external clients.
- Ensure the platform can handle large-scale data volumes and meet high availability and SLA requirements.
- Collaborate with stakeholders across various teams to understand business needs and translate them into technical solutions.
- Interface with multiple systems across the enterprise to orchestrate seamless data movement and transformation.
- Drive continuous improvement by identifying bottlenecks and opportunities for optimization in existing pipelines and workflows.
- Ensure data quality, lineage, and compliance with data governance and regulatory standards.
- Mentor junior engineers and contribute to team leadership, including participation in code reviews and design discussions.
- Promote best practices in engineering excellence, agile development, DevOps, and CI/CD processes.
Required Skills and Experience
Technical Skills
- 10-18 years of hands-on experience in data engineering and data platform development.
- Deep expertise in data architecture, data modeling, and designing resilient data pipelines.
- People Management (2+ years)
- Strong programming skills in Python, with exposure to Java or Scala a plus.
- Experience with cloud platforms, especially Microsoft Azure.
- Solid working knowledge of Snowflake, DBT, and Apache Airflow.
- Proficient in version control tools (Git, Bitbucket) and CI/CD pipelines (Jenkins).
- Exposure to Scrum/Agile methodology and issue tracking via JIRA.
Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.