Title – AWS Data Architect 15 years local to NJ
Swapna Sankurathri
Title – AWS Data Architect 15 years local to NJ
Project Duration: 3 months, subjected to extension
Office Location : Clinton, NJ
Work Model : Hybrid – 3 days a week in Clinton, NJ office
Bill Rate – $70/hr
Interview process – 2 Trianz rounds + client
Client: NYL
Duration: 3 months
Role Overview
We are seeking a highly experienced and hands-on AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. This role requires deep technical expertise, strong architectural ownership, and the ability to actively contribute to development while guiding teams.
The ideal candidate will be a player-coach—capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance.
Key Responsibilities
Architecture & Design
• Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption)
• Design scalable, secure, and high-performing data platforms (lakehouse / modern data stack)
• Establish standards for data modeling, partitioning, metadata, and lifecycle management
• Architect solutions for both batch and real-time data processing
Hands-On Engineering
• Build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions
• Design data storage using S3, Redshift, RDS, DynamoDB
• Develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python
• Implement data transformation frameworks and reusable components
Data Governance & Security
• Define and enforce data governance, cataloging, and lineage
• Design row-level security, IAM policies, encryption strategies
• Work with AWS Lake Formation / Glue Data Catalog
Performance & Optimization
• Optimize data pipelines for performance and cost efficiency
• Drive SPICE/BI dataset optimization (if QuickSight or similar tools involved)
• Improve query performance in Redshift/S3-based architectures
Collaboration & Leadership
• Work closely with business, analytics, and engineering teams
• Lead technical discussions and design reviews
• Mentor data engineers and enforce engineering best practices
• Act as the primary owner of data architecture decisions
Migration & Modernization
• Lead legacy data platform migrations (e.g., on-prem, Tableau, Hadoop) to AWS
• Define strategies for data platform modernization and cloud-native adoption
• Support large-scale BI/reporting migrations (e.g., to QuickSight)
Reporting Frameworks & Reusable Components
• Create reusable reporting templates, dataset templates, and QuickSight themes.
• Build standardized KPIs, calculated fields, and metric definitions.
• Design modular AI agents and workflow templates that can be used across multiple business functions.
• Design modular reporting components that can be used across multiple dashboards.
• Implement parameterized dashboards and reusable visual components.
Quick Suite Development & AI-Powered Reporting
• Design, develop, and maintain interactive dashboards, datasets, and visualizations in Amazon QuickSight (now part of Quick Suite).
• Build and configure Quick Chat agents to enable natural language querying across business data sources.
• Design Quick Spaces that group data, applications, and AI agents for specific business functions or teams.
• Build high-performance dashboards optimized for large datasets and fast refresh times.
• Implement row-level security (RLS) and governance controls for business users and AI agents.
• Create standardized QuickSight templates and dashboard frameworks that can be reused across teams.
• Design and maintain semantic layers and curated datasets for reporting and AI consumption.
Ideal Candidate Profile
Overall 12+ years of experience, including 5 to 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
Respectfully & Best Regards
Swapna S
Everest Consulting Group Inc
3840 Park Ave Suite #203, Edison, NJ 08820
Direct :732 609 8666
Mobile: 215 806 4493
https://www.linkedin.com/in/swapna-sankurathri-1b17191a