Ideal Candidate Profile
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
• 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
Never miss an opportunity! Create an alert based on the job you applied for.
