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Data Architect- Wealth Management

System One

Job Description

Job Description

Data Architect Location: Hybrid, Naperville, IL Duration: 6+ Months with Extention Job Summary Join a collaborative Data & Analytics team building a modern cloud-native data platform on AWS. This hands-on Data Architect role will define the data architecture that powers Wealth Management analytics while partnering with engineers, analysts, and business stakeholders. You'll establish enterprise data standards, governance, and scalable AWS-based data solutions. Key Responsibilities

  • Design end-to-end AWS data architecture for Wealth Management platforms.
  • Build and maintain data lakes, lakehouses, warehouses, and streaming pipelines.
  • Develop conceptual, logical, and physical data models.
  • Design models for clients, households, accounts, portfolios, holdings, transactions, and advisor relationships.
  • Establish enterprise standards for data ingestion, transformation, storage, and consumption.
  • Design regulatory reporting solutions (SEC, FINRA, Reg BI, SOX).
  • Lead Data Governance, Data Quality, Metadata, Cataloging, and MDM initiatives.
  • Implement secure architecture with encryption, IAM, KMS, and PII/PCI compliance.
  • Guide engineering teams and review technical designs.
  • Evaluate AWS services based on scalability, performance, and cost.
  • Support batch and real-time integrations with portfolio, CRM, custody, and market data systems.
  • Enable BI, reporting, and ML/Analytics use cases.
Must-Have Skills
  • 10–12+ years of Data Engineering/Data Architecture experience
  • Banking & Financial Services domain
  • Wealth Management, Asset Management, Private Banking, or Brokerage experience
  • AWS Data Platform Architecture
  • Data Modeling (Dimensional, Data Vault, 3NF)
  • Data Lake/Lakehouse & Data Warehouse Architecture
  • ETL/ELT Design
  • Data Governance, Metadata, Data Quality & Lineage
  • Advanced SQL & Python
  • Infrastructure as Code (Terraform/CloudFormation)
AWS Technologies
  • Storage & Analytics: S3, Redshift, EMR, Athena, Glue, Lake Formation
  • Lakehouse: Parquet, Iceberg, Delta Lake
  • Streaming: Kinesis, MSK (Kafka)
  • Serverless: Lambda, Step Functions, MWAA (Airflow)
  • Databases: RDS, Aurora, DynamoDB
  • Security: IAM, KMS, Encryption
BI Tools
  • QuickSight
  • Tableau
  • Power BI
Nice-to-Have
  • AWS Certifications
  • TOGAF
  • Collibra or Alation
  • Bloomberg or Refinitiv
  • Portfolio Accounting Systems
  • Machine Learning / Advanced Analytics
  • Data Mesh Architecture
  • Wealth Management Regulatory Reporting Experience
#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

Vacancy posted 7 days ago
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