Lead Data Engineer Job at Qode, South Carolina

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  • Qode
  • South Carolina

Job Description

Senior/ Lead Data Engineer (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

Job Tags

Full time

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