Data Engineer

Role & responsibilities

Program Leadership & Governance

• Lead the Data Tower within enterprise-wide EDO transformation programs.
• Define and execute data strategy aligned with business and technology objectives.
• Manage multiple delivery teams across data engineering, analytics, governance, and cloud platforms.
• Drive program planning, budgeting, resource management, and delivery governance.
• Establish KPIs, SLAs, risk management frameworks, and program health reporting.
• Present program status and strategic recommendations to C-level stakeholders.

Data Platform & Architecture Leadership

• Lead the design and implementation of modern data platforms leveraging:
• Databricks Lakehouse Architecture
• Azure Data Platform
• AWS Data Services
• DBT Transformation Framework
• Define scalable architecture patterns for batch, streaming, and real-time analytics workloads.
• Establish enterprise data standards, best practices, and reusable frameworks.

Asset Management Domain Enablement

• Drive data initiatives supporting:
• Portfolio Management
• Investment Research
• Trading & Order Management
• Performance & Attribution
• Risk Analytics
• Compliance & Regulatory Reporting
• Client Reporting
• Security Master & Reference Data Management
• Collaborate with business stakeholders to define data products and business capabilities.

Data Engineering Leadership

• Lead development of enterprise-grade data pipelines using Databricks and cloud-native technologies.
• Define ELT/ETL frameworks utilizing dbt and modern data engineering methodologies.
• Ensure high-quality delivery through automation, CI/CD, testing, and observability practices.
• Optimize data processing costs and performance across cloud environments.

Cloud & Platform Management

• Provide leadership across Azure and AWS cloud ecosystems.
• Define cloud migration and modernization strategies.
• Ensure platform security, resiliency, scalability, and governance.
• Drive FinOps practices for cloud optimization and cost management.

Stakeholder Management

• Partner with:
• Chief Data Officers
• Data Governance Leaders
• Portfolio Management Teams
• Enterprise Architects
• Compliance & Risk Functions
• Technology Leadership
• Serve as the single point of accountability for Data Tower delivery.

Required Technical Skills

• Databricks
• DBT
• Azure
• AWS
• Data Governance & Engineering

Asset Management Domain expertise