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ETL Modernization Architect - 1646

aKube Inc

Role overview

Qualifications

  • Extensive experience designing enterprise ETL/ELT architectures.
  • Hands-on experience with IBM DataStage and Databricks modernization projects.
  • Strong knowledge of AWS data services, including Glue, Redshift, and Lambda.

Responsibilities

  • Define the architecture and migration strategy for modernizing legacy ETL and ELT pipelines.
  • Assess IBM DataStage jobs, databases, and data warehouses for migration readiness.
  • Design scalable data solutions using Databricks Spark on AWS.
  • Establish architecture standards, reusable frameworks, and governance controls.

About the company

aKube Inc logo

aKube Inc

Artificial Intelligence & Machine Learning Services

Discover talent that fits you like a gloveAt aKube Inc., we bridge the gap between exceptional professionals and innovative companies.The trifecta for business success - People, Process & Technology

Company details

Company typeSME
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

This is a remote position.

Onsite/Hybrid/Remote: Remote
Duration: 12 months
Rate Range: $75 in W2
Work Authorization: GC and US Citizens Only 

Must Have:
  • ETL/ELT architecture and modernization
  • IBM DataStage
  • Databricks and Apache Spark
  • Delta Lake, Unity Catalog, and Photon
  • AWS Glue, Redshift, and Lambda
  • Python and Unix/Linux scripting
  • Terraform and CI/CD
  • Large-scale database and data warehouse migrations
  • Data governance, quality, and observability
Responsibilities:
  • Define the architecture and migration strategy for modernizing legacy ETL and ELT pipelines.
  • Assess IBM DataStage jobs, databases, and data warehouses for migration readiness.
  • Design scalable data solutions using Databricks Spark on AWS.
  • Establish architecture standards, reusable frameworks, and governance controls.
  • Design CI/CD pipelines for automated builds, testing, and deployment.
  • Lead technical design reviews, migration planning, and artifact validation.
  • Define parity, functional, UAT, regression, and performance testing strategies.
  • Ensure schema validation, data quality, lineage, security, and production readiness.
  • Guide cutover, go-live, hypercare, and operational stabilization activities.
  • Oversee the decommissioning of legacy DataStage jobs and related components.
  • Create operational documentation and conduct knowledge-transfer sessions.
  • Provide technical direction to developers and engineering teams.
Qualifications:
  • Extensive experience designing enterprise ETL/ELT architectures.
  • Hands-on experience with IBM DataStage and Databricks modernization projects.
  • Strong experience with Databricks, Delta Lake, Unity Catalog, Photon, and Spark.
  • Strong knowledge of AWS data services, including Glue, Redshift, and Lambda.
  • Experience designing large-scale database and data warehouse migration programs.
  • Proficiency in Python and Unix/Linux scripting.
  • Experience with Terraform and automated deployment pipelines.
  • Knowledge of data governance, observability, lineage, and operational readiness.
  • Experience defining testing and production-readiness standards.
  • Experience working in Agile/Scrum environments and PI planning.
Nice to Have:
  • GitLab or Azure DevOps experience
  • JIRA experience
  • Automated data-testing framework experience
  • Experience leading enterprise cutovers and hypercare activities
  • Experience mentoring data engineering teams

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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