AWS Data Architect

Byteware Inc.
Clinton, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Clinton, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Data Architecture
Information Engineering
Data Governance
ETL
Data Warehousing
Distributed Data Store
Identity and Access Management
Metadata
Power BI
SQL Databases
Data Streaming
Tableau
Snowflake
Spark
Data Lake
PySpark
Amazon Web Services (AWS)
Data Analytics
Amazon Web Services (AWS)
Kafka
Virtual Agents
Api Design
Redshift
Microservices

Job description

Overall 15+ years of experience, including 7+ years in AWS Data Architecture. Core AWS Expertise

  • Deep experience with: o S3 (data lake design) o AWS Glue (ETL, catalog) o Amazon Redshift (data warehouse design & optimization) o Lambda, Step Functions (orchestration) o IAM, Lake Formation (security) Data Engineering & Processing

  • Strong hands-on experience with: o PySpark / Spark (EMR or Glue) o SQL (advanced level) o Python for data pipelines

  • Experience with streaming (Kinesis / Kafka) is a plus Data Architecture

  • Expertise in: o Data lake / lakehouse architectures o Data modeling (dimensional + normalized) o Metadata and cataloging strategies o Handling large-scale, distributed data systems Modern Data Stack (Preferred)

  • Exposure to: o dbt, Airflow, Snowflake (optional but valuable) o BI tools (QuickSight, Tableau, Power BI) o API-based ingestion and microservices-based data flows o Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research) o SQL & Data Modeling o AWS Analytics Stack o Dashboard Design o AI Agent Design & Configuration o Workflow Automation & Business Process Optimization Soft Skills

Requirements

  • Strong ownership mindset and ability to drive architecture end-to-end

  • Excellent communication with both technical and business stakeholders

  • Ability to work in fast-paced, ambiguous environments

  • Proven leadership and mentoring experience Nice-to-Have

  • AWS Certifications (Solutions Architect, Data Analytics Specialty)

  • Experience with data governance frameworks / regulatory compliance

  • Background in large enterprise transformations

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