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Job description
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.
Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption), build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions, design data storage using S3, Redshift, RDS, DynamoDB, and develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python.
Ideal candidate will be a player-coach—capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance. Strong ownership mindset and ability to drive architecture end-to-end, excellent communication with both technical and business stakeholders, and ability to work in fast-paced, ambiguous environments.
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Company
Tech, Software & IT Services
Trianz is a technology platforms and services firm that accelerates digital transformation for Fortune 100 and emerging companies worldwide. The company specializes in data & analytics, digital experiences, cloud infrastructure, and security, leveraging proprietary IP such as Concierto, Avrio, and Pulse to streamline cloud adoption and AI insights. Trianz’s IP‑led transformation model, informed by a global study of 20+ industries and 5,000+ companies, addresses the rapid pace of AI, talent scarcity, and economic uncertainty. Consistently rated #1 for value delivery over the past five years, Trianz combines data‑driven expertise with a culture of rapid growth and predictability, making it an attractive partner—and employer—for forward‑thinking professionals.