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# AWS Data Architect

- **Company:** Incedo Inc
- **Location:** Fort Mill, SC, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Computing Platforms, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, DevOps, Dimensional Modeling, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Online Analytical Processing, Online Transaction Processing, Performance Tuning, Standard Sql, Data Streaming, Enterprise Data Management, Snowflake, Apache Spark, Cloudformation, Build Management, Data Lakes, Pyspark, Collibra, AWS Glue, AWS Data Analytics, Apache Kafka, Data Management, Terraform, Data Pipelines, Databricks
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/5500973b-d521-44e9-a34d-1014b2437a42

## About the Role

* 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, 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

## Description

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., * 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, * 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


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