# Data Architect

**Company:** [Qode](http://jobs.workable.com/companies/d9Gs4Q7pnWjZVXU2mK6CGd.md)
**Location:** South Carolina, United States
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/44f443de-2841-4237-9dc0-27c3b3a1e066)

## Description

**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**