Data Architect

Data Architect (AWS) - Wealth Management

Location: Fort Mill, NC (Hybrid)

Employment Type: Full-Time

Role Overview

We 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 Responsibilities

Data 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