Data Architect

Data Architect (AWS) - Wealth ManagementLocation: Fort Mill, NC (Hybrid)Employment Type: Full-TimeRole OverviewWe 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 ResponsibilitiesData Engineering & ArchitectureDesign 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 frameworksOptimize data models for analytics, reporting, and ML use casesWealth Management DomainWork with datasets across:Portfolio & asset managementTrade lifecycle & transaction dataClient onboarding & KYCPerformance reporting & attributionBuild systems supporting investment analytics, risk, and regulatory reportingLeadership & StrategyLead a team of data engineers; provide technical guidance and code reviewsDefine data engineering best practices, governance, and standardsCollaborate with Product, Analytics, and Business teamsDrive data quality, lineage, and observability frameworksCloud & Platform EngineeringDevelop solutions on AWS:S3, Glue, Lambda, EMR, RedshiftImplement CI/CD pipelines and infrastructure-as-code (Terraform/CloudFormation)Ensure security and compliance (FINRA, SEC considerations)Required Qualifications10+ years of experience in data engineering / data platform development3+ years in a lead or architect roleStrong programming expertise in PythonHands-on experience with:PySpark / SparkSQL & data modelingWorkflow orchestration (Airflow, Prefect)Experience in wealth management / asset management / financial servicesStrong understanding of:Investment data modelsMarket data & financial instrumentsExperience with cloud-native data platforms (AWS)Preferred QualificationsExperience with Snowflake / DatabricksKnowledge of machine learning pipelinesFamiliarity with data governance tools (Collibra, Alation)Exposure to real-time streaming (Kafka, Kinesis)Certifications in AWS or Data EngineeringKey SkillsPython (Advanced)Data Architecture & ModelingFinancial / Wealth Management DomainCloud Data Engineering (AWS)Leadership & Stakeholder ManagementETL / ELT PipelinesBig Data TechnologiesWhat Success Looks LikeScalable, high-performance data pipelines supporting critical investment workflowsHigh data quality, governance, and compliance adherenceStrong collaboration across business and technology teamsMentored and high-performing data engineering teamWhy Join UsWork on mission-critical financial data platformsHigh visibility with business and executive stakeholdersOpportunity to shape next-gen data architecture in wealth management