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EY

Data Architecture & Engineering - Manager - Financial Services - Consulting - NY

EY, Charlotte, North Carolina, United States, 28245

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Data Architecture & Engineering - Manager - Financial Services - Consulting - NYC, Charlotte, Dallas Join the Data Architecture & Engineering – Manager – Financial Services – Consulting role at EY.

Location: New York, Charlotte, Dallas

At EY, we are committed to shaping the future with confidence, building a better working world, and creating new value for clients, people, society, and the planet while fostering a flexible, diverse, and inclusive culture.

The Opportunity We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role offers the 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 different 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

Leading and coaching diverse teams of professionals with different backgrounds

Providing subject‑matter expertise in defining technical and business approaches

Building strong relationships with clients and cultivating business opportunities

Initiating and building thought leadership through white papers, points of view, and proofs of concept

Working in an entrepreneurial environment to pave your own career path

Qualifications

Undergraduate or master’s degree in a quantitative field (engineering, computer science, business, economics, finance, statistics, or analytics)

6 or more years of related work experience in banking, capital markets, insurance, or asset management

Excellent communication skills and ability to advocate technical solutions to diverse audiences

Experience working efficiently 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, facilitating meetings, presentation creation, and preparing client‑ready deliverables

Prior experience in project management and client‑serving roles

Excellent leadership and teaming skills

Strong organizational and time‑management skills

Curiosity and desire to learn with the ability to adapt to change

Willingness to travel 60 % of the time and a valid passport

DAE Specific

Ability to understand business challenges and address remediations through data architecture and engineering solutions

Practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Big Data initiatives, and event‑driven architecture, preferably focused in financial services

Experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion, integration, and distribution pipelines

Practical experience using the latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and manipulation

Deep understanding of traditional data architecture practices (MDM, ODS, data warehousing, etc.) and transition to next‑generational platforms such as Hadoop, cloud, distributed ledgers, etc.

Practitioner experience in multiple data technologies such as:

Cloud Data Platforms (AWS, Azure, Google Cloud, Databricks, Snowflake)

Big Data applications and distributed processing (Hadoop ecosystem)

Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)

MPP (AWS Redshift, Teradata, Netezza)

NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch)

Streaming platforms and applications (Spark Streaming, Kafka, Storm, etc.)

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)

Prior consulting experience

What We Offer You EY will develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment and fuel your extraordinary talents within a diverse and inclusive culture of globally connected teams.

A comprehensive compensation and benefits package based on performance, including medical & dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Experience a hybrid model with the expectation that most people in external, client‑serving roles work together in person 40‑60 % of the time.

Flexible vacation policy that lets you decide how much time you need, with additional leave for EY paid holidays, winter/summer breaks, personal/family care, and other leaves of absence.

Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis.

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. If you have a disability and need assistance applying online or require an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email TSS at ssc.customersupport@ey.com.

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