AWS Data Architect

Trianz • Clinton, NJ

1d • Hybrid

About The Position

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.

Requirements

• Overall 12+ years of experience, including 5 to 7 years in AWS Data Architecture.
• Deep experience with S3 (data lake design)
• Deep experience with AWS Glue (ETL, catalog)
• Deep experience with Amazon Redshift (data warehouse design & optimization)
• Deep experience with Lambda, Step Functions (orchestration)
• Deep experience with IAM, Lake Formation (security)
• Strong hands-on experience with PySpark / Spark (EMR or Glue)
• Strong hands-on experience with SQL (advanced level)
• Strong hands-on experience with Python for data pipelines
• Expertise in Data lake / lakehouse architectures
• Expertise in Data modeling (dimensional + normalized)
• Expertise in Metadata and cataloging strategies
• Expertise in Handling large-scale, distributed data systems
• Experience with BI tools (QuickSight, Tableau, Power BI)
• Experience with API-based ingestion and microservices-based data flows
• Experience with Amazon Quick Suite (QuickSight, Quick Chat, Quick Flows, Quick Automate, Quick Research)
• Experience with SQL & Data Modeling
• Experience with AWS Analytics Stack
• Experience with Dashboard Design
• Experience with AI Agent Design & Configuration
• Experience with Workflow Automation & Business Process Optimization
• 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
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience

Nice To Haves

• Experience with streaming (Kinesis / Kafka) is a plus
• Exposure to dbt, Airflow, Snowflake (optional but valuable)
• AWS Certifications (Solutions Architect, Data Analytics Specialty)
• Experience with data governance frameworks / regulatory compliance
• Background in large enterprise transformations

Responsibilities

• 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
• 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
• Define and enforce data governance, cataloging, and lineage
• Design row-level security, IAM policies, encryption strategies
• Work with AWS Lake Formation / Glue Data Catalog
• 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
• 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
• 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)
• 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.
• 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.

Benefits

• Startup agility with enterprise impact.
• Experience rapid innovation cycles while working on Fortune 500 transformations.
• Lead the charge in implementing AI-driven transformation at scale.
• Shape transformation across continents.
• Work with diverse teams and clients spanning Americas, Europe, Asia, and beyond.
• Direct impact on Fortune 500 strategies.
• Work alongside C-suite leaders and influence major business decisions.
• Your ideas, our platform, global impact.
• Zero bureaucracy culture with decision-making autonomy and rapid execution.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior