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Data Architect

Job in South Naperville Area, Will County, Illinois, 60564, USA
Listing for: Snowrelic Inc
Full Time position
Listed on 2026-07-22
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

Data Architect Wealth Management

Location:

Naperville, IL (Hybrid Onsite Client Office)

Duration: 6+ Months Contract with a possibility of Extension

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, lake houses, 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/Cloud Formation)
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
  • Quick Sight
  • 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
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