Data Architect (AWS) – Wealth ManagementLocation: Fort Mill, NC (Hybrid)Employment Type: Full-TimeRole OverviewWe are seeking a Senior Data Lead Engineer with deep expertise in wealth management / financial services and strong hands-on skills in Python based data engineering. This role will lead the design, development, and optimization of enterprise-scale data platforms supporting portfolio management, client reporting, risk analytics, and regulatory compliance. You will act as a technical leader, driving modern data architecture, mentoring teams, and partnering with business stakeholders to deliver high-impact data solutions.Key ResponsibilitiesData Engineering & Architecture

Design and build scalable data pipelines using Python (PySpark, Pandas, Airflow).
Architect data lakes / warehouses (Snowflake, Redshift, or similar).
Implement real-time and batch data processing frameworks.
Optimize data models for analytics, reporting, and ML use cases.

Wealth Management Domain

Work with datasets across:
Portfolio & asset management
Trade lifecycle & transaction data
Client onboarding & KYC
Performance reporting & attribution
Build systems supporting investment analytics, risk, and regulatory reporting.

Leadership & Strategy

Lead a team of data engineers; provide technical guidance and code reviews.
Define data engineering best practices, governance, and standards.
Collaborate with Product, Analytics, and Business teams.
Drive data quality, lineage, and observability frameworks.

Cloud & Platform Engineering

Develop solutions on AWS:
S3, Glue, Lambda, EMR, Redshift
Implement CI/CD pipelines and infrastructure-as-code (Terraform/CloudFormation).
Ensure security and compliance (FINRA, SEC considerations).

Required Qualifications

10+ years of experience in data engineering / data platform development
3+ years in a lead or architect role
Strong programming expertise in Python
Hands-on experience with:
PySpark / Spark
SQL & data modeling
Workflow orchestration (Airflow, Prefect)
Experience in wealth management / asset management / financial services
Strong understanding of:
Investment data models
Market data & financial instruments
Experience with cloud-native data platforms (AWS)

Preferred Qualifications

Experience with Snowflake / Databricks
Knowledge of machine learning pipelines
Familiarity with data governance tools (Collibra, Alation)
Exposure to real-time streaming (Kafka, Kinesis)
Certifications in AWS or Data Engineering

Key Skills

Python (Advanced)
Data Architecture & Modeling
Financial / Wealth Management Domain
Cloud Data Engineering (AWS)
Leadership & Stakeholder Management
ETL / ELT Pipelines
Big Data Technologies

What Success Looks Like

Scalable, high-performance data pipelines supporting critical investment workflows
High data quality, governance, and compliance adherence
Strong collaboration across business and technology teams
Mentored and high-performing data engineering team

Why Join Us

Work on mission-critical financial data platforms
High visibility with business and executive stakeholders
Opportunity to shape next-gen data architecture in wealth management

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