AWS Data Architect

Role: AWS Data Architect Location: \[Location(s) / Remote] – Hybrid – Clinton, NJ – 3 days in a week from office Employment Type: \[Full\-time /Contract] – Contract Duration: 3 months **Company Overview** Trianz is an **applied AI solutions company** that accelerates customer business transformation through AI powered **"Transformation Services as a Software Model"**. With 25\+ years of transforming enterprises, we've evolved to a product\-led, platform\-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi\-Tech, Manufacturing, and other industries. With global presence across 4 continents, our platform portfolio under the unified **Concierto brand** delivers end\-to\-end transformations including solutions for **Migrate, Manage, Maximize, Modernize, Insights \& Agentic AI, and SecOps** \- delivered through strategic partnerships with leading hyperscalers. We're building the premier innovation\-led organization in the digital transformation space through AI\-first methodologies and data\-driven excellence \- **RevolutionAIzing****Transformations.** **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