Data Architecture & Engineering Manager – FS (Hybrid)

EY; Charlotte (NC); Hybrid; USD 125,500 - 230,200; Full time

Benefits offered by this job

Hybrid work model

Total rewards package

Generous time‑off policy

Job summary

EY is seeking a Manager – Financial Services – Data and Analytics – Data Architecture and Engineering to lead data initiatives for financial services clients. You will work on diverse teams across geographies to deliver data platforms, pipelines, and analytics solutions while guiding client engagements and ensuring high-impact outcomes.

Ideal candidates have 6+ years in data architecture/engineering with strong SQL, data modeling, and cloud experience.

Qualifications

• Undergraduate or master’s degree in a quantitative field
• Around 6 or more years of related work experience in banking, capital markets, insurance, or asset management space
• Strong analytical and problem-solving skills
• Experience with client-facing activities and delivering client-ready deliverables
• Willingness and ability to travel up to 60%

Responsibilities

• Deliver data and analytics services as part of diverse teams across geographies
• Solve complex data issues and drive growth for financial services clients
• Lead and coach teams, define technical and business approaches
• Build relationships with clients and cultivate new opportunities
• Create proof of concepts and white papers to showcase thought leadership

Skills

Data Architecture

Data Engineering

Big Data

Cloud Platforms

Stakeholder Communication

Project Management

Travel 60%

Education

Bachelor's degree in quantitative field

MBA preferred

Tools

AWS

Azure

Google Platform

Databricks

Snowflake

Hadoop

Kafka

Spark

Kubernetes

Terraform

Datavault/Star schema

Job description

EY is seeking a Manager – Financial Services – Data and Analytics – Data Architecture and Engineering to lead data initiatives for financial services clients. You will work on diverse teams across geographies to deliver data platforms, pipelines, and analytics solutions while guiding client engagements and ensuring high-impact outcomes.

Ideal candidates have 6+ years in data architecture/engineering with strong SQL, data modeling, and cloud experience.