Data Architect/ Engineering Investment/ Asset Management

About This Role

Drive data architecture and engineering strategy for a financial services client, focusing on the design and implementation of an enterprise-grade data platform. This role involves optimizing data pipelines and ensuring scalability and performance across the data ecosystem.

Responsibilities

• Lead data architecture and engineering strategy aligned with technology and business roadmaps
• Design and implement data models, ETL/ELT pipelines, and integration frameworks
• Partner with stakeholders to deliver scalable, high-performance data solutions
• Optimize Snowflake pipelines for performance, scalability, and resource efficiency
• Drive cloud and data engineering best practices across teams
• Implement robust data quality, validation, and governance procedures
• Collaborate with PMs, architects, and BAs on milestones and deliverables
• Mentor onsite and offshore engineering teams
• Maintain documentation of data flows, transformations, and architecture
• Troubleshoot pipeline issues and performance bottlenecks

Requirements

• 8+ years of data engineering experience with strong focus on data architecture and data modelling
• Hands-on expertise with Snowflake, SQL, Python, and AWS (Glue, EMR)
• Strong understanding of ELT frameworks, cloud data design patterns, and data governance
• Excellent analytical, problem-solving, and communication skills

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 8+ years of data engineering experience with a strong focus on data architecture and data modelling

Nice to Have

• Snowflake or relevant data engineering certifications
• Experience in asset management or alternative investments
• Familiarity with Airflow, Tableau, Power BI, or similar tools

Skills

* Required skills