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# Data Architecture & Engineering - Senior - Financial Services - Consulting - NYC

- **Company:** Ernst & Young LLP
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $106,900.0 - $176,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, C++ (Programming Language), Cloud Database, Data Architecture, Data Integration, Data Migration, Data Systems, Data Vault Modeling, Data Warehousing, Relational Databases, DevOps, Distributed Computing Environment, Distributed Data Store, Amazon DynamoDB, Elasticsearch, Github, Apache Hadoop, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, MySQL, Neo4j, NoSQL, Oracle (Applications), Presentation Programs, Cloud Services, Scala (Programming Language), Data Streaming, Talend, Teradata SQL, Workflow Management Systems, Data Ingestion, Netezza, Snowflake, Apache Spark, Event Driven Architecture, Data Lakes, Kubernetes, Information Technology, Cassandra, Apache Kafka, Spark Streaming, Terraform, Data Pipelines, Jenkins, Amazon Redshift, Databricks
- **Published:** August 7, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3343319245&tx=JJ9185FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be solving complex issues and driving 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 (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics).
 * At least 2 to 5 years of related work experience in banking, capital markets, insurance, or asset management domain
 * Good communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology 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, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
 * Proven track record of consistently meeting deadlines, and provide 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
 * A willingness and ability to travel to meet client needs; travel is estimated at 60%
 * Valid Passport

DAE Specific

 * Ability to understand business challenges and address remediations through data architecture and engineering solutions.
 * Must have practical experience assisting clients with development of one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
 * Experience development of 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.
 * 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.)
 * Experience with 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.)
 * Dev Ops (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



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