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Ernst & Young

Global professional services: consulting, assurance, tax

Data Architecture & Engineering – Senior Manager - Financial Services, Consulting, NYC, Charlotte

Data EngineeringUpdated on Nov 14
Full-time$144k - $374k /yr

About the Job

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 with at least 3 years of experience managing a team
  • Superior communication (verbal and written) with the ability to effectively advocate technical solutions and results to technology and business audiences at all levels and disciplines within EY and client organizations
  • Experience working independently, efficiently, and effectively under extreme time constraints and delivering results by critical deadlines
  • Demonstrate exploration of new techniques outside of day-to-day job duties
  • Experience presenting technical conclusions to senior officials in a company and other stakeholders
  • 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
  • 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 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
  • DAE Specific: Must have 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
  • DAE Specific: Experience architecting and designing large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines
  • DAE Specific: Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization
  • DAE Specific: 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.
  • DAE Specific: 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)

Responsibilities

  • Deliver a wide range of data and analytics services as part of diverse teams across geographies to address client needs in the financial services sector
  • Solve complex data challenges and drive growth across financial services for clients
  • Lead and coach diverse teams of professionals with different backgrounds and provide subject matter expertise in defining technical and business approaches
  • Work across and influence different stakeholders within the client organization, cultivating and executing on business opportunities
  • Build strong relationships with clients including engaging with C-level executives and technical clients
  • Initiate and build thought leadership through white papers, point of views, and proof of concepts
  • Work in an entrepreneurial environment to pave your own career path
  • Propose and drive new technologies to enhance or replace existing business processes
  • DAE Specific: Understanding business challenges and addressing remediations through data architecture and engineering solutions
  • DAE Specific: Architect and design large data platforms, data warehouses and data lakes, streaming applications, data ingestion, integration, and distribution pipelines
  • DAE Specific: Utilize latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization
  • DAE Specific: Adopt traditional data architecture practices while transitioning to Next-Gen platform architectures such as distributed data lakes and Data Mesh on cloud
  • DAE Specific: Engage in multiple data technologies including Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake), Hadoop and Spark, Informatica, Talend, Python, Java, C++, Scala, Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL, Snowflake, BigQuery, AWS Redshift, MongoDB, DynamoDB, Cassandra, Neo4J, Kafka, Airflow, GitHub, Kubernetes, Jenkins, Terraform, Data Vault/Star/Snowflake modeling

Desired Qualifications

  • Master’s degree in Business Administration (MBA) or Science (MS) preferred
  • Prior consulting experience
  • Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support
  • Oral presentation skills, with the ability to lead meetings and hold workshops with executives
  • Experience quantifying results to the business, from the front line to senior executives

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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