EY
Data Architecture & Engineering - Senior - Financial Services - Consulting - NYC
EY, Charlotte, North Carolina, United States, 28245
Data Architecture & Engineering - Senior - Financial Services - Consulting - NYC, Charlotte, Dallas
Location: New York, Charlotte, Dallas.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Senior Consultant – Financial Services - Data & Analytics – Data Architecture and Engineering
EY is the only professional services firm with a dedicated business unit (“FSO”) that serves the financial services marketplace. Our FSO teams have led the transformation of the industry. If you thrive on solving complex challenges, come join our dynamic team.
Data is yet to be utilized to its fullest potential. Financial institutions are looking to build smarter, more efficient ways to operate, uncovering new opportunities through data. Our clients rely on us as trusted advisors to ingest, interpret, and manage their data. We specialize in Data Products Management, Data Architecture and Engineering, Data Governance and Controls, and Data Analytics and Insights.
The Opportunity We provide constant room for growth through client engagements and personal development. Practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role offers a unique opportunity to build a professional network, tackle complex data issues, and drive cutting‑edge approaches across industry‑leading clients and domains.
Your Key Responsibilities You will be part of diverse teams of professionals across geographies to deliver a wide range of data and analytics services. You will solve complex issues and drive growth across financial services.
Skills And Attributes For Success
Fostering an innovative and inclusive team‑oriented work environment
Working in diverse teams of professionals with different backgrounds
Demonstrating in‑depth technical capabilities and professional knowledge
Contributing to thought leadership through white papers, point of views, and proof of concepts
Working in an entrepreneurial environment to pave your own career path
Ability to meet deadlines, own deliverables and contribute to project delivery
To qualify for the role, you must have
Undergraduate or Master’s degree in a quantitative field (engineering, computer science, business, economics, finance, statistics, analytics).
2–5 years of related experience in banking, capital markets, insurance, or asset management.
Strong communication (verbal and written) to advocate technical solutions to technical and business audiences.
Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines.
Strong analytical and problem‑solving skills.
Experience with client‑facing activities such as requirements gathering, facilitation, presentation creation, and preparing client‑ready deliverables.
Proven track record of consistently meeting deadlines and providing reporting and business recommendations in a dynamic environment.
Good leadership and teaming skills.
Strong organizational and time‑management skills.
Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn.
Willingness and ability to travel to meet client needs; travel is estimated at 60%.
Valid passport.
DAE Specific
Understand business challenges and address remediations through data architecture and engineering solutions.
Assist clients with development of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration, and Event‑driven architecture, preferably focused on financial services.
Develop large data platforms, data warehouses, and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
Use latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
Understand traditional data architecture practices (data warehousing, datahub, MDM, ODS) and transition to Next‑Gen platform architectures such as distributed data lake and Data mesh on cloud.
Practical experience with multiple data technologies such as:
Cloud Data Platforms (AWS, Azure, Google Cloud, Databricks, Snowflake)
Big Data & Distributed Processing (Hadoop, Spark ecosystem)
Data integration Tools (Informatica, Talend)
Scripting languages: Python, Java, C++, Scala
Traditional RDBMS: Teradata, Netezza, SQL Server, Oracle, MySQL, PostgreSQL
MPP: Snowflake, BigQuery, Redshift
NoSQL: MongoDB, DynamoDB, Cassandra, Neo4J, Elasticsearch
Streaming Platforms: Spark Streaming, Kafka, Storm
Workflow tools: Airflow
DevOps: GitHub, Kubernetes, Jenkins, Terraform
Data Modeling: Data Vault, Star, Snowflake
Ideally, you’ll also have
Master’s degree in Business Administration (MBA) or Science (MS) preferred.
Prior consulting experience.
What We Offer You We’ll develop your future‑focused skills, provide world‑class experiences, and empower you in a flexible, inclusive environment.
Competitive compensation: base salary in the US ranges from $106,900 to $176,500 (regional adjustments apply) with comprehensive Total Rewards including medical, dental, pension, 401(k), and paid time off.
Hybrid work model: 40–60% in‑person collaboration on external, client‑serving engagements.
Flexible vacation policy and discretionary paid time off for holidays, breaks, and personal/family care.
We accept applications for this position on an ongoing basis. For those living in California, additional information is available upon request.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or require an accommodation during the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry to route you to EY’s Talent Shared Services Team, or email the TSS at ssc.customersupport@ey.com.
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At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Senior Consultant – Financial Services - Data & Analytics – Data Architecture and Engineering
EY is the only professional services firm with a dedicated business unit (“FSO”) that serves the financial services marketplace. Our FSO teams have led the transformation of the industry. If you thrive on solving complex challenges, come join our dynamic team.
Data is yet to be utilized to its fullest potential. Financial institutions are looking to build smarter, more efficient ways to operate, uncovering new opportunities through data. Our clients rely on us as trusted advisors to ingest, interpret, and manage their data. We specialize in Data Products Management, Data Architecture and Engineering, Data Governance and Controls, and Data Analytics and Insights.
The Opportunity We provide constant room for growth through client engagements and personal development. Practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role offers a unique opportunity to build a professional network, tackle complex data issues, and drive cutting‑edge approaches across industry‑leading clients and domains.
Your Key Responsibilities You will be part of diverse teams of professionals across geographies to deliver a wide range of data and analytics services. You will solve complex issues and drive growth across financial services.
Skills And Attributes For Success
Fostering an innovative and inclusive team‑oriented work environment
Working in diverse teams of professionals with different backgrounds
Demonstrating in‑depth technical capabilities and professional knowledge
Contributing to thought leadership through white papers, point of views, and proof of concepts
Working in an entrepreneurial environment to pave your own career path
Ability to meet deadlines, own deliverables and contribute to project delivery
To qualify for the role, you must have
Undergraduate or Master’s degree in a quantitative field (engineering, computer science, business, economics, finance, statistics, analytics).
2–5 years of related experience in banking, capital markets, insurance, or asset management.
Strong communication (verbal and written) to advocate technical solutions to technical and business audiences.
Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines.
Strong analytical and problem‑solving skills.
Experience with client‑facing activities such as requirements gathering, facilitation, presentation creation, and preparing client‑ready deliverables.
Proven track record of consistently meeting deadlines and providing reporting and business recommendations in a dynamic environment.
Good leadership and teaming skills.
Strong organizational and time‑management skills.
Ability to integrate new knowledge and adapt to change with a natural curiosity and desire to learn.
Willingness and ability to travel to meet client needs; travel is estimated at 60%.
Valid passport.
DAE Specific
Understand business challenges and address remediations through data architecture and engineering solutions.
Assist clients with development of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration, and Event‑driven architecture, preferably focused on financial services.
Develop large data platforms, data warehouses, and data lakes, streaming applications, data ingestion, integration, and distribution pipelines.
Use latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
Understand traditional data architecture practices (data warehousing, datahub, MDM, ODS) and transition to Next‑Gen platform architectures such as distributed data lake and Data mesh on cloud.
Practical experience with multiple data technologies such as:
Cloud Data Platforms (AWS, Azure, Google Cloud, Databricks, Snowflake)
Big Data & Distributed Processing (Hadoop, Spark ecosystem)
Data integration Tools (Informatica, Talend)
Scripting languages: Python, Java, C++, Scala
Traditional RDBMS: Teradata, Netezza, SQL Server, Oracle, MySQL, PostgreSQL
MPP: Snowflake, BigQuery, Redshift
NoSQL: MongoDB, DynamoDB, Cassandra, Neo4J, Elasticsearch
Streaming Platforms: Spark Streaming, Kafka, Storm
Workflow tools: Airflow
DevOps: GitHub, Kubernetes, Jenkins, Terraform
Data Modeling: Data Vault, Star, Snowflake
Ideally, you’ll also have
Master’s degree in Business Administration (MBA) or Science (MS) preferred.
Prior consulting experience.
What We Offer You We’ll develop your future‑focused skills, provide world‑class experiences, and empower you in a flexible, inclusive environment.
Competitive compensation: base salary in the US ranges from $106,900 to $176,500 (regional adjustments apply) with comprehensive Total Rewards including medical, dental, pension, 401(k), and paid time off.
Hybrid work model: 40–60% in‑person collaboration on external, client‑serving engagements.
Flexible vacation policy and discretionary paid time off for holidays, breaks, and personal/family care.
We accept applications for this position on an ongoing basis. For those living in California, additional information is available upon request.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or require an accommodation during the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry to route you to EY’s Talent Shared Services Team, or email the TSS at ssc.customersupport@ey.com.
#J-18808-Ljbffr