Senior AWS Data Engineer

VP AWS Data Engineer - Strategic Data Leadership - London - Hybrid

Are you a visionary data engineering leader ready to architect the future of market data infrastructure?

A global financial institution is seeking a Vice President - AWS Data Engineering to spearhead the development of a next-generation Market Data Store (MDS). This greenfield initiative offers a rare opportunity to shape the platform from the ground up, leveraging technologies like Databricks, Snowflake, and AWS Glue to solve one of the most complex data challenges in banking.

What makes this role stand out?

• Strategic ownership of a high-impact data platform initiative.
• Influence cross-functional teams and senior stakeholders.
• Drive innovation in data architecture, governance, and analytics.
• Collaborate with data scientists to deploy machine learning models.
• Gain visibility across multiple business units and sectors.

Key responsibilities:

• Lead the design and implementation of scalable, secure data pipelines and architectures.
• Define and enforce best practices in data governance, quality, and security.
• Guide the development of advanced data processing and analysis algorithms.
• Advise senior leadership on data strategy, risk mitigation, and platform evolution.
• Mentor and develop data engineering talent, fostering a high-performance culture.

Requirements:

• Extensive hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation.
• Strong proficiency in Python and SQL.
• Proven leadership in data engineering strategy and execution.
• Deep understanding of market data and its business applications.
• Experience with Databricks, Snowflake, and machine learning integration is a plus.

The ideal candidate:

• A strategic thinker with a track record of delivering enterprise-scale data solutions.
• A collaborative leader who energises and inspires teams.
• A trusted advisor to senior stakeholders, with strong influencing and negotiation skills.
• Someone who thrives in a fast-paced, complex environment and is passionate about data innovation.