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Adastra

Data, cloud, and AI consulting

AWS Lake Formation Architect Specialist

Data ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in data engineering or architecture, including at least 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.
  • Strong scripting and programming skills in Python, PySpark, and SQL.
  • Solid understanding of data security, encryption, access management, and compliance frameworks.
  • Experience designing scalable, secure, and governed multi-account AWS data architectures.

Responsibilities

  • Architect 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.
  • Implement 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.
  • Architect 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.
  • Select 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.
  • Ensure 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.
  • Collaborate 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.

Desired Qualifications

  • Familiarity with Delta Lake and its capabilities for comparative architecture decisions.
  • Experience implementing data mesh architectures.
  • AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional.
  • Experience with streaming data technologies such as Amazon Kinesis, MSK, and DMS.

About the Company

Adastra

Data, cloud, and AI consulting

Adastra is a data and digital transformation consultancy. It helps organizations design, build, migrate, govern, and operate data, analytics, cloud, artificial intelligence, and software solutions. Its clients include enterprises and public organizations modernizing information platforms and data-driven business processes. The consultancy delivers through multidisciplinary teams spanning strategy, architecture, engineering, governance, implementation, quality, project management, and managed support. Work spans data engineering, cloud, analytics, AI, governance, software, consulting, and project delivery.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bangkok, Thailand
Founded
2018

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