Asset & Wealth Management - Software Engineering Manager - Vice President - Birmingham

Requirements:

• Experience: 10+ years in Data Engineering, with at least 2+ years in a formal leadership or management role.
• Data Platform Mastery: Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud-native services. Good understanding of open-source table formats, specifically Apache Iceberg.
• Programming: Expert-level proficiency in Java, Python, and SQL.
• Big Data & Orchestration: Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
• Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture.

Nice to Haves:

• Mentorship: Proven track record of upskilling junior and senior engineers.
• Communication: Ability to explain complex technical concepts to non-technical stakeholders in the wealth management business.
• Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast-paced environment.

What You'll Be Doing:

• Team Leadership: Lead and mentor a local team of data engineers in Birmingham.
• Platform Ownership: Design, build, and maintain robust data platforms and pipelines.
• AI Readiness: Implement strategies to make data "AI-ready."
• Technical Governance: Set and enforce high standards for code quality and testing.
• Stakeholder Management: Collaborate with Data Scientists, Product Managers, and Application teams.
• Local Advocacy: Act as the technical face of the team in the Birmingham office.

Perks and Benefits:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.