Overview
Cloud Architect - AWS Lake Formation Specialist
POSITION SUMMARYWe are seeking a Senior AWS Lake Formation Architect Specialist to design, implement, and govern secure, scalable data lake and lakehouse architectures on AWS. The ideal candidate will bring strong hands-on expertise in AWS Lake Formation, cross-account data sharing, and modern open table formats such as Apache Iceberg and Apache Hudi.In this role, you will lead the design of enterprise-scale data governance frameworks, implement fine-grained access controls, and enable secure data sharing across multiple AWS accounts and business units. You will collaborate with data engineering, security, and business teams to deliver scalable, high-performance, and compliant data solutions.Primary Location:
Toronto, ON (Fully Remote)Employment Type:
ContractDuration:
3-4 monthsRESPONSIBILITIES
Data Lake Design & ArchitectureArchitect end-to-end data lake and lakehouse solutions using AWS Lake Formation, S3, Glue Data Catalog, Athena, Redshift Spectrum, and EMR
Design and implement open table format strategies using Apache Iceberg and Apache Hudi to support ACID transactions, schema evolution, time travel, and efficient upserts and deletes for CDC use cases
Governance & SecurityImplement fine-grained, column-, row-, and cell-level access controls using AWS Lake Formation permissions
Design tag-based access control (LF-TBAC) strategies and manage data lake administrator roles
Establish data classification, lineage tracking, and auditing using CloudTrail and Lake Formation audit logs
Cross-Account Data SharingArchitect secure, governed data sharing across multiple AWS accounts, business units,



and external partner organizations using Lake Formation resource links, named resource grants, and LF-tags
Design hub-and-spoke or data mesh architectures where a central governance account manages the Glue Data Catalog and grants controlled access to consumer accounts
Implement cross-account Iceberg and Hudi table sharing while ensuring metadata consistency and permission enforcement across account boundaries
Manage AWS Resource Access Manager (AWS RAM) integration for sharing catalog resources
Establish cross-region and cross-organization data sharing patterns using AWS Organizations while maintaining compliance boundaries
Troubleshoot cross-account permission issues, including IAM role chaining, trust policies, and Lake Formation grant propagation
Table Formats & Data EngineeringSelect and implement appropriate open table formats, including Iceberg, Hudi, and Delta Lake, based on workload requirements such as streaming upserts, batch CDC, and analytics-heavy read patterns
Manage Iceberg and Hudi table maintenance, including compaction, clustering, snapshot expiration, and manifest optimization
Integrate Iceberg and Hudi tables with Glue Data Catalog, Athena, EMR (Spark), and Redshift Spectrum for unified querying
Design streaming ingestion pipelines using Kinesis, MSK,



and DMS to support near-real-time lake updates
Compliance & OptimizationEnsure architectures meet regulatory requirements such as GDPR, HIPAA, and SOC 2 through encryption, lineage, and access auditing
Optimize partitioning, file formats such as Parquet and ORC, and storage tiering for performance and cost efficiency
Stakeholder CollaborationCollaborate with data engineers, data scientists, security and compliance teams, and business stakeholders to translate governance and data-sharing requirements into architecture
Lead migrations from legacy data warehouses and on-premises data lakes to AWS lakehouse architectures with transactional table formats
QUALIFICATIONS, SKILLS & EXPERIENCE
5+ years of experience in data engineering or architecture, including 2+ years of hands-on experience with AWS Lake Formation
Strong hands-on expertise in AWS Lake Formation, AWS Glue Data Catalog, Amazon S3, Athena, Redshift, EMR, and IAM
Proven experience designing cross-account and cross-organization data-sharing frameworks using resource links, LF-tags, and AWS RAM
Practical knowledge of Apache Iceberg and Apache Hudi, including table internals, metadata and manifest structures, compaction strategies, and integration with AWS query engines
Hands-on production experience implementing and managing open table formats such as Iceberg or Hudi
Proficiency in Infrastructure as Code tools such as CloudFormation, Terraform, or AWS CDK
Robust scripting and programming skills in Python, PySpark, and SQL
Solid understanding of data security, encryption, access management, and compliance frameworks
Experience designing

📌 Aws Lake Formation Architect Specialist (Winnipeg)
🏢 Adastra
📍 Winnipeg