Data Architect

DataArchitect (AWS)–WealthManagement Location: FortMill, 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‑scaled data platforms supporting portfolio management, client reporting, risk analytics, and regulatory compliance. You will act as a technical leader, driving moderate 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 datalakes/warehouses (Snowflake, Redshift, or similar). Implement real‑time and batch data processing frameworks . Optimized 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/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 #J-18808-Ljbffr Qode