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
Provide end-to-end solutions focusing on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence
Solve complex issues and drive growth across financial services
Define data and analytic strategies by performing assessments
Recommend remediation strategies/solutions based on aggregated view of identified gaps
Design/implement future state data and analytics solutions
Manage and coach diverse teams of professionals with different backgrounds
Manage cross functional teams, ensuring 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, points 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
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
Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience
3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry
3 years of experience assisting clients with one or a combination of: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture
3 years of experience with one or a combination of: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
3 years of experience with Next-Gen platforms: Hyperscaler (AWS, GCP, Azure), Snowflake, DataBricks, distributed databases
3 years of experience in one or a combination of architecting and designing: large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, data integration pipelines
3 years of combined experience in at least 1 of: Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (Redshift, Synapse, Teradata, Vertica, Netezza), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch), Streaming Platform and Applications (Spark streaming, Kafka, Confluent, Storm), DevOps (Github, Kubernetes, Jenkins, Terraform), Data Modeling (Data Vault, Star, Snowflake, Canonical)

Benefits

medical and dental coverage
pension and 401(k) plans
wide range of paid time off options
flexible vacation policy
designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care leave
support for physical, financial, and emotional well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata engineeringdata productsdata marketplacesdata supply chainrisk controldata analyticsdata warehousingdata integration pipelinesdata modeling

Soft Skills

problem solvingteam managementclient relationship managementbusiness developmentinfluencingcoachingcross-functional collaborationthought leadershipcreative thinkingquality client services