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About the Role

EY's Financial Services Office (FSO) is seeking a Data Architecture and Engineering professional to help financial institutions leverage data for smarter, more efficient operations. This role offers opportunities for growth, development of innovative data techniques, building a professional network, and tackling complex data issues with industry-leading clients.

Responsibilities

Deliver a wide range of data and analytics services as part of diverse, cross-geography teams.
Solve complex issues and drive growth within the financial services sector.
Foster an innovative and inclusive team-oriented work environment.
Lead and coach diverse teams of professionals.
Provide subject matter expertise in defining technical and business approaches.
Influence stakeholders within client organizations and cultivate business opportunities.
Build strong client relationships, including engaging with C-level executives.
Initiate and build thought leadership through white papers, point of views, and proof of concepts.
Work in an entrepreneurial environment to shape your career path.
Propose and drive new technologies to enhance or replace existing business processes.
Understand business challenges and address them through data architecture and engineering solutions.
Assist clients with strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration, and Event-driven architecture, preferably in financial services.
Architect and design large data platforms, data warehouses, data lakes, streaming applications, and data pipelines.
Utilize the latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
Apply deep understanding of traditional and Next-Gen data architectures (e.g., data warehousing, data mesh on cloud).
Leverage practical experience in multiple data technologies including Cloud Data Platforms, Big Data applications, Data integration Tools, scripting languages, RDBMS, MPP, NoSQL, and Streaming Platforms.
Use data pipeline and workflow management tools.
Apply Dev Ops principles and tools.
Implement Data Modeling techniques.

Requirements

Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, and/or analytics).
Minimum of 9 years’ experience in banking, capital markets, insurance, or asset management domain.
At least 3 years of experience managing a team.
Superior communication (verbal and written) with the ability to advocate technical solutions to technology and business audiences.
Experience working independently, efficiently, and effectively under extreme time constraints.
Demonstrated exploration of new techniques outside of day-to-day job duties.
Experience presenting technical conclusions to senior officials and stakeholders.
Strong analytical and problem-solving skills.
Experience with client-facing activities such as requirements gathering, facilitating meetings, and presentation creation.
Project management and process development expertise in client-serving roles.
Excellent leadership and teaming skills.
Strong organizational and time-management skills.
Ability to integrate new knowledge and adapt to change with curiosity and a desire to learn.
Willingness and ability to travel to meet client needs (estimated at 60%).
Valid passport.
Practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
Experience architecting and designing large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
Deep understanding of traditional data architecture practices (data warehousing, datahub, MDM, ODS etc.) as well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc.
Practitioner experience in multiple data technologies such as: Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake), Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components), Data integration Tools (Informatica, Talend, etc.), scripting languages (Python, Java, C++, Scala, etc.), Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (Snowflake, BigQuery, AWS Redshift etc.), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch), Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.).
Experience with data pipeline and workflow management tools (Airflow, etc.).
Experience with Dev Ops (GitHub, Kubernetes Jenkins, Terraform).
Experience with Data Modeling (Data vault, Star, Snowflake).

Skills

Data Architecture
Data Engineering
Cloud Data Modernization
Data Migration
Event-driven architecture
Data Platforms
Data Warehousing
Data Lakes
Streaming Applications
Data Ingestion
Data Integration
Data Distribution Pipelines
Data Mining
Big Data Analytics
Data Visualization
Data Governance
Data Controls
Data Analytics
Data Insights
AWS
Azure
Google Platform
Databricks
Snowflake
Hadoop
Spark
Informatica
Talend
Python
Java
C++
Scala
Teradata
Netezza
MS SQL Server
Oracle
MySQL
PostgreSQL
BigQuery
AWS Redshift
MongoDB
DynamoDB
Cassandra
Neo4J
Titan
Elasticsearch
Spark streaming
Kafka
Storm
Airflow
GitHub
Kubernetes
Jenkins
Terraform
Data Vault
Star Schema
Snowflake Schema
Leadership
Teamwork
Communication
Problem-solving
Client-facing
Project Management
Process Development
Organizational Skills
Time Management
Adaptability
Curiosity
Learning Agility

Location

New York
Charlotte
Dallas

Work Type

Hybrid

Experience Level

Senior Manager
Minimum of 9 years’ experience
At least 3 years of experience managing a team

Education Level

Undergraduate or master’s degree in a quantitative field
Master’s degree in business administration (MBA) or Science (MS) preferred

Salary/Compensations

US base salary range: $144,00 to $329,100
New York City Metro Area, Washington State and California (excluding Sacramento) base salary range: $172,800 to $374,000

Benefits

Comprehensive compensation and benefits package
Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is a professional services firm with a dedicated business unit (FSO) for the financial services marketplace.
EY teams have been at the forefront of events reshaping the financial services industry.
EY helps clients shape the future with confidence and develop answers for pressing issues.
EY teams work across assurance, consulting, tax, strategy, and transactions.
EY has a globally connected, multi-disciplinary network and diverse ecosystem partners, providing services in over 150 countries and territories.
EY focuses on high-ethical standards and integrity.

Equal Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities.