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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