Financial Consulting Engineer Jobs

1 job found

1mo ago

Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) - Financial Services Office (Manager)

EY Philadelphia, PA

Philadelphia, PA

1mo ago Closed

$218k - $218k/yr Full time Manager Analytics Azure Synapse Analytics

This position is no longer accepting applications (closed Jun 28, 2026).

Job Description

EY's Financial Services Office in Philadelphia is seeking a Data Analyst in Technology Consulting focused on Data & Analytics, with emphasis on Data Architecture & Engineering. This hybrid role centers on designing modern data platforms and data products to support end-to-end data solutions for financial services clients, and includes leadership responsibilities within the Philadelphia team. The position offers a compensation of USD 218,230 per year.

Below is a structured summary of responsibilities, requirements, technologies and benefits associated with the role.

Responsibilities

Understand business challenges and address remediation through data architecture and engineering solutions.
Collaborate with clients to transform data usage by architecting modern data platforms, data products, and data marketplaces, delivering end-to-end solutions that improve the data supply chain, reengineer processes, enhance risk controls, and enable information intelligence using current technologies.
Solve complex issues and drive growth across the financial services sector.
Define data and analytic strategies by conducting assessments, recommending remediation strategies based on identified gaps, and designing future-state data and analytics solutions.
Lead and coach diverse teams with varied backgrounds; manage cross-functional teams to ensure 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 proofs of concept.
Develop strategies to solve problems logically using creative methods.
Engage and influence large teams and functional leaders; 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 related field with 5 years of progressive, post-baccalaureate work experience; or Master’s degree in the same fields with 4 years of related work experience.
3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industries.
3 years of experience assisting clients with 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 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 including hyperscalers (AWS, GCP, and/or Azure), Snowflake, Databricks, and/or distributed databases.
3 years of experience designing or architecting large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.
3 years of combined experience in at least one 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, or Canonical).
Domestic and regional travel up to 60% to meet client needs.

Technologies

AWS, GCP, Azure
Snowflake, Databricks, Redshift, Synapse, Teradata, Vertica, Netezza
MongoDB, DynamoDB, Cassandra, Neo4j, Titan, Elasticsearch
Spark streaming, Kafka, Confluent, Storm
GitHub, Kubernetes, Jenkins, Terraform
MS SQL Server, Oracle, MySQL, PostgreSQL
Data Vault, Star, Canonical
Master Data Management

Benefits

Medical and dental coverage
Pension and 401(k) plans
Paid time off
Hybrid work model
Flexible vacation policy
EY paid holidays
Winter/Summer breaks
Personal/Family care
Other leaves of absence
Continuous learning
Transformative leadership
Diverse and inclusive culture

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