Senior Data Architect – Privacy & Data Platform

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.

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 efficient 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 building and consuming data products.
  
• Provide technical leadership and mentorship to data engineers and other technical stakeholders.
  
• Evaluate new technologies and architectural approaches to improve the platform's capabilities and support evolving AI/ML requirements.
  

Requirements

Required Skills & Experience

• 8+ years of experience in Data Engineering, Data Architecture, or related roles.
  
• 3+ years of experience designing and owning data platforms used by multiple engineering or analytics teams.
  
• Strong hands-on experience designing and implementing AWS data lake/lakehouse architectures.
  
• Strong knowledge of Amazon S3, AWS Glue, Amazon Athena, and AWS Lake Formation.
  
• Strong understanding of data modeling, data warehousing, data lakes, and lakehouse architectures.
  
• Hands-on experience with Parquet, partitioning, file optimization, compaction, and large-scale data processing.
  
• Experience designing CDC and batch data ingestion pipelines from transactional systems.
  
• Strong understanding of data cataloging, metadata management, data lineage, and schema evolution.
  
• Practical experience with data privacy, anonymization, de-identification, tokenization, or other privacy-preserving techniques.
  
• Strong understanding of data governance, access control, security, compliance, and regulatory requirements.
  
• Experience working directly with Privacy, Legal, Security, or Compliance teams.
  
• Strong understanding of data quality, data lifecycle management, and data retention.
  
• Experience with cloud cost optimization and performance engineering for large-scale data platforms.
  

Nice to Have

• Experience with GDPR, NDPA/DPA, or similar data privacy regulations.
  
• Knowledge of k-anonymity, differential privacy, or privacy-preserving analytics.
  
• Experience with synthetic data generation for AI/ML or analytics use cases.
  
• Experience with Apache Iceberg or other open table formats.
  
• Experience supporting AI/ML training data pipelines and feature engineering platforms.
  
• Experience with AWS security and identity services, including IAM and KMS.
  
• Experience with large-scale data cost optimization and FinOps.
  
• Experience designing multi-account or multi-environment AWS data platforms.
  
• Familiarity with infrastructure automation using Terraform or CloudFormation.
  
• Experience establishing data platform standards, reference architectures, and technical governance.