understand business challenges and address remediations through data architecture and engineering solutions
work with clients to transform data usage and management by architecting modern data platforms, products, and marketplaces
provide end-to-end solutions focusing on improving 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, perform assessments, and recommend remediation strategies/solutions
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 view, and proof of concepts
develop strategies to solve problems logically using creative methods
engage and influence large teams and functional leaders
lead and direct diverse teams by providing constructive on-the-job feedback/coaching

Requirements

Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field and 8 years of related work experience (5 years must be progressive, post-baccalaureate)
Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field and 7 years of related work experience
6 years of experience in banking, capital markets, insurance, and/or wealth and asset management industry
5 years of experience in strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture
5 years of experience with traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
5 years of experience with Next-Gen platforms including Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases
5 years of experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines
5 years of combined experience in at least 2 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), or Data Modeling (Data Vault, Star, Snowflake, or Canonical)
Requires domestic and regional travel up to 60% to meet client needs

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
other leaves of absence when needed to support your physical, financial, and emotional well-being
continuous learning opportunities
tools and flexibility for meaningful impact
insights, coaching, and confidence for leadership
diverse and inclusive culture

Applicant Tracking System Keywords

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

Hard Skills & Tools

data architecturedata engineeringdata platformsdata productsdata meshdata fabricbig dataevent-driven architecturemaster data managementdata warehousing

Soft Skills

problem solvingcoachingteam managementcross-functional collaborationthought leadershipinfluencingconstructive feedbacklogical thinkingcreativitycommunication