Hiring: Data Analyst - Tech Cons-Data & Analytics-Data Arch & Eng-FSO-Manager - Multiple Positions - 1726139 Company: EY Location: Dallas, TX Job Posted Time: 2026-09-16 17:32:56 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Azure, Capital Markets, Cassandra, Data Mesh, Data Warehouse, Databricks, DynamoDB, Elasticsearch, Event-Driven, GCP, GitHub, Jenkins, Kafka, Kubernetes, MongoDB, MySQL, Neo4j, PostgreSQL, Redshift, SQL Server, Snowflake, Spark, Terraform, Vault About the job 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 the following: 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 Next-Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases. •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. Qualifications: •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. •Employer will accept any suitable combination of education, training or experience. •5 years of progressive, post-baccalaureate related work experience. Alternatively, must have a 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 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. Compensation: •Flexible work environment (work from home / hybrid options) •In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!