Qode
Lead Data Engineer
TLDR
Lead the design and optimization of enterprise-scale data platforms for portfolio management, client reporting, and regulatory compliance using modern data architecture.
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
Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.
- Industry
- Internet Software & Services
Lead Data Engineer