Data Engineer

Role & responsibilities

Roles & Responsibilities

Key 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. ---