New York Technology Partners
AWS Data Architect
Contract · In Office · Clinton, New Jersey (USA)
Posted Jun 8, 2026
- Role: AWS Data Architect
- Location: Clinton, NJ (HYBRID ONLY LOCALS)
- 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 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
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AWS Data Architect
New York Technology Partners
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