AWS Data Architect

Incedo Inc

Fort Mill, SC, United States

7 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+22 more

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

Job 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

Requirements

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

About the company

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.