AWS Data Architect | Wealth Management
New York, NY / Fort Mill, SC (Hybrid)
Full-Time | 14 19 Years Experience
About Incedo
Incedo is a fast-growing Digital, Data & AI transformation company helping Fortune 500 clients across Banking, Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences drive business outcomes through Data, AI, Engineering, and Operations excellence.
Role Summary
We are looking for a hands-on AWS Data Architect to design, build, and scale enterprise data platforms for a leading Wealth Management client. This role requires strong architecture ownership combined with hands-on development of modern AWS-based data ecosystems, real-time pipelines, and governed data platforms.
Key Responsibilities
- Design and build AWS data lakes, lakehouses, and enterprise data warehouses
- Develop batch and real-time data pipelines using AWS native services
- Architect and optimize large-scale ETL/ELT frameworks using Python, PySpark, and SQL
- Implement CDC and streaming architectures using Kafka/MSK, Kinesis, and event-driven patterns
- Lead data modeling initiatives (dimensional, OLTP, OLAP)
- Drive performance tuning for Spark, Redshift, and distributed workloads
- Implement governance, lineage, security, and compliance standards for regulated financial data
- Build CI/CD pipelines and Infrastructure as Code using Terraform/CloudFormation
- Provide technical leadership and mentor engineering teams
Required Skills
- 14 19 years in Data Engineering / Data Architecture
- 6+ years of AWS Data Architecture experience
- Strong hands-on experience with:
- AWS Glue, EMR, Lambda
- S3, Redshift, Aurora/RDS
- Kinesis, MSK (Kafka)
- Athena, Redshift Spectrum
- Step Functions, Airflow (MWAA)
- Lake Formation, IAM, KMS
- Advanced Python, PySpark, SQL
- Strong experience with:
- Spark and distributed processing
- Real-time & streaming architectures
- CDC frameworks
- Data warehousing & dimensional modeling
- CI/CD & DevOps practices
Preferred Skills
- AWS Solutions Architect Professional and/or AWS Data Analytics Specialty
- Snowflake and/or Databricks
- Delta Lake, Iceberg, Hudi, Lakehouse architectures
- Collibra, Alation, Glue Catalog, Great Expectations, Deequ
- Wealth Management, Banking, Capital Markets, AML/KYC, Risk & Compliance experience
Ideal Candidate
Architects and codes hands-on
Deep AWS data platform expertise
Strong PySpark, Streaming, and Lakehouse experience
Experience handling regulated financial data (PII/PCI)
Can lead architecture decisions while remaining deeply technical
Apply
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Skills: AWS Glue, EMR, PySpark, Kafka/MSK, Kinesis, Redshift, Snowflake, Delta Lake, Iceberg, Data Modeling, CDC, Wealth Management
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