Data Analyst, Data and Analytics, Data Architecture and Engineering, Manager

Role Overview

• Understand business challenges and address remediations through data architecture and engineering solutions
• Work with clients to transform the way they use and manage data by architecting modern data platforms, data products, and data marketplaces providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies
• Solve complex issues and drive growth across financial services
• Define data and analytic strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions
• Manage and coach diverse teams of professionals with different backgrounds
• Manage cross functional teams, to ensure project task and timeline accountability
• Propose and drive new technologies to enhance or replace existing business processes
• Initiate and build thought leadership through white papers, point of views, and proof of concepts
• Develop strategies to solve problems logically using creative methods
• Engage and influence large teams and functional leaders
• Manage and motivate teams with diverse skills and backgrounds
• Consistently deliver quality client services by monitoring progress
• Demonstrate in-depth technical capabilities and professional knowledge
• Maintain long-term client relationships and networks
• Cultivate business development opportunities

Requirements

• Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post-baccalaureate related work experience
• Alternatively, Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience
• Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry
• Must have 3 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture
• Must have 3 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
• Must have 3 years of experience with Next-Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases
• Must have 3 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines
• Must have 3 years of combined experience in at least 1 of the following:
• Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL)
• MPP (Redshift, Synapse, Teradata, Vertica or Netezza)
• NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch)
• Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm)
• DevOps (Github, Kubernetes Jenkins or Terraform)
• Data Modeling (Data Vault, Star, Snowflake, or Canonical)
• Requires domestic and regional travel up to 60% to meet client needs.

Tech Stack

• Amazon Redshift
• AWS
• Azure
• Cassandra
• Cloud
• DynamoDB
• ElasticSearch
• Google Cloud Platform
• Jenkins
• Kafka
• Kubernetes
• MongoDB
• MS SQL Server
• MySQL
• Neo4j
• NoSQL
• Oracle
• Postgres
• RDBMS
• Spark
• SQL
• Terraform
• Vault

Benefits

• 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