Key skills
Data ArchitectureData EngineeringCloud Data ModernizationBig DataEvent-driven ArchitectureData PlatformsData WarehousingData IngestionData IntegrationData Distribution PipelinesData TransformationData StorageBig Data AnalyticsHadoop EcosystemAWSAzureGoogle Cloud PlatformDatabricksSnowflakeMS SQL ServerOracleMySQLPostgreSQLAWS RedshiftTeradataNetezzaMongoDBDynamoDBCassandraNeo4JElasticsearchSpark StreamingKafkaStormGitHubKubernetesJenkinsTerraformData Modeling - DatavaultData Modeling - Star SchemaData Modeling - Snowflake SchemaSQLNoSQLAnalyticsRedshiftSparkHadoopSQL ServerNeo4jLeadershipProject ManagementCommunication
About this role
EY is the only professional services firm with a separate business unit dedicated to the financial services marketplace. The role involves leading diverse teams to deliver innovative data techniques and methods, addressing complex data challenges for financial institutions.
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 be solving complex issues and driving growth across financial services
Requirements:
- Undergraduate or master's degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or analytics)
- Around 6 or more years of related work experience in banking, capital markets, insurance, or asset management space
- Good 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
- 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
- Prior experience in project management and 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
- Ability to understand business challenges and address remediations through data architecture and engineering solutions
- Must have 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 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.) as well transition to Next-Gen platforms such as Hadoop, Cloud, distributed ledgers, 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 ecosystem components), Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Netezza), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch), Streaming Platform and Applications (Spark streaming, Kafka, Storm, etc.), Dev Ops (Github, Kubernetes Jenkins, Terraform), Data Modeling (Datavault, Star, Snowflake)
- Master's degree in Business Administration (MBA) or Science (MS) preferred
- Prior consulting experience