This is a remote position.
Role Overview

We are looking for a Senior / Principal Data Architect to take technical ownership of a privacy-preserving data platform that enables organizations to securely transform and prepare operational data for AI/ML training and analytics without compromising individual privacy.
You will be responsible for designing scalable data architecture, establishing engineering standards, and driving technical decisions across data ingestion, processing, governance, privacy, security, and platform optimization. The role requires strong hands-on experience with AWS data lake/lakehouse technologies and a deep understanding of data privacy and compliance.

Key Responsibilities

Design and lead the architecture of a scalable, secure, and cost-efficient AWS data lake/lakehouse platform using services such as Amazon S3, AWS Glue, Athena, Lake Formation, and related AWS data services.
Define data architecture patterns for batch and real-time/CDC ingestion from transactional and operational systems.
Design productive Parquet-based data layouts,



including partitioning strategies, file sizing, compaction, compression, and query optimization.
Architect and implement data de-identification, tokenization, anonymization, and privacy-preserving techniques for sensitive datasets.
Establish data governance frameworks covering data ownership, access control, classification, lineage, cataloging, retention, and auditability.
Design robust data catalog and metadata management solutions while supporting schema evolution and data discovery.
Define and enforce data quality, security, privacy, and compliance standards across the platform.
Collaborate with Data Engineering, AI/ML, Security, Privacy, Legal, and Compliance teams to translate business and regulatory requirements into technical solutions.
Optimize data platforms for performance, scalability, freshness, reliability, and cloud cost efficiency.
Establish architecture and engineering best practices for teams

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