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AWS Data Architect

Turing IT Labs
Clinton, NC, United States
8 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon S3 Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing Amazon DynamoDB Apache Hadoop
+14 more
Identity and Access Management Python (Programming Language) Metadata Power BI Data Streaming Tableau (Software) Sql Optimization Snowflake Apache Spark Data Lakes Pyspark AWS Data Analytics Apache Kafka Data Pipelines

Requirements

  • AWS Data Architecture: S3, Glue, Redshift, RDS, DynamoDB
  • Data Engineering: PySpark/Spark, Python, Advanced SQL
  • AWS Processing: EMR, Lambda, Step Functions
  • Data Governance & Security: Lake Formation, Glue Data Catalog, IAM, RLS
  • Data Architecture: Data Lake/Lakehouse, Data Modeling, Metadata, Lineage
  • ETL/ELT: Batch & real-time data pipelines
  • Migration & Modernization: Hadoop/on-prem/legacy data platform * AWS
  • BI & Reporting: Amazon QuickSight, Tableau, Power BI
  • AI/Automation: AI Agents, Quick Chat, Quick Spaces, workflow automation
  • Streaming: Kinesis/Kafka - Plus
  • Modern Data Stack: dbt, Airflow, Snowflake - Plus

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:43 min

AWS infrastructure stack and data flow pipeline overview

Artem Volk Artem Volk +1 · World Congress 2024

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 3 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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