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DS

US_East | IT Consultant - Cloud Specialist_L2

Datum Software, Inc
  • 🇮🇱 Israel
  • On-site
  • Staff / Principal
  • 1 day ago
  • AWS
  • AWS Glue
  • AWS Lambda
  • Apache Iceberg
  • Step Functions
  • CI/CD
  • ETL
  • ELT
  • Microservices
  • Regulatory Compliance
  • Devops
  • IaC
  • CloudFormation
  • Terraform
  • AWS CDK
  • GitHub Actions
  • Jenkins
  • CloudWatch
  • Athena
  • Redshift
  • IAM
  • Amazon EventBridge
  • SNS
  • SQS
  • Apache Spark
  • PySpark
  • Python
  • SQL
  • Event-Driven Architecture
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Role Name: AWS Engineering Lead (EDP SOW)
Location: Hanover



 
Job Description
We are seeking an experiencedAWS Engineering Lead to design, develop, and lead enterprise-scale, cloud-native data platforms on AWS.
The ideal candidate will have strong expertise inAWS Glue, AWS Lambda, Apache Iceberg, AWS Step Functions, and modern data engineering practices.
This role involves leading a team of engineers, architecting scalable data solutions, driving cloud engineering best practices, and collaborating with business and technology stakeholders to deliver high-quality data products.
Key Responsibilities:
1. Technical Leadership
  • Lead the architecture, design, and implementation of scalable AWS-based data platforms.
  • Provide technical direction, guidance, and mentorship to engineering teams.
  • Establish engineering standards, coding best practices, and CI/CD processes.
  • Conduct technical design reviews, code reviews, and architecture governance activities.
2. AWS Data Engineering
  • Design and develop data ingestion, transformation, and orchestration pipelines using AWS services.
  • Build, optimize, and maintain ETL/ELT workflows using AWS Glue.
  • Develop scalable serverless solutions using AWS Lambda.
  • Design and implement workflow orchestration using AWS Step Functions.
  • Build and manage modern data lake solutions using Apache Iceberg on Amazon S3.
3. Solution Architecture & Design
  • Architect highly available, secure, scalable, and cost-efficient cloud solutions.
  • Design event-driven and microservices-based architectures.
  • Optimize the performance, reliability, scalability, and operational efficiency of AWS workloads.
4. Data Platform Management
  • Implement metadata management, schema evolution, partitioning, and time-travel capabilities using Apache Iceberg.
  • Support large-scale batch and near-real-time data processing requirements.
  • Ensure data quality, governance, security, and regulatory compliance.
5. DevOps & Automation
  • Implement Infrastructure as Code (IaC) using AWS CloudFormation, Terraform, or AWS CDK.
  • Build and maintain automated CI/CD deployment pipelines using GitHub Actions, Jenkins, or AWS CodePipeline.
  • Monitor system performance and operational health using Amazon CloudWatch and monitoring dashboards.
  • Drive automation, reliability, and continuous improvement across AWS environments.
6. Stakeholder Management
  • Collaborate with Product Owners, Architects, Business Teams, and Technology Stakeholders.
  • Translate business requirements into scalable and reliable technology solutions.
  • Drive project delivery while proactively managing technical risks, dependencies, and challenges.
 
Required Skills & Experience:
AWS Services
Strong hands-on expertise with:
  • AWS Glue
  • AWS Lambda
  • AWS Step Functions
  • Amazon S3
  • Amazon Athena
  • Amazon Redshift
  • AWS Identity and Access Management (IAM)
  • Amazon CloudWatch
  • Amazon EventBridge
  • Amazon SNS and Amazon SQS
  • AWS Secrets Manager
  • AWS Lake Formation
Data Engineering
  • Extensive experience designing and building enterprise-scale data lakes.
  • Strong understanding of Apache Iceberg architecture and implementation.
  • Expertise in ETL/ELT frameworks and data pipeline development.
  • Strong knowledge of partitioning strategies, schema evolution, data compaction, and time-travel concepts.
  • Experience with Apache Spark and PySpark is preferred.
Programming Languages
  • Python – Expert-level proficiency
  • PySpark
  • SQL
  • Shell Scripting
Cloud Architecture
  • Serverless Architecture
  • Event-Driven Architecture
  • Microservices Architecture
  • API Integration
  • Data Lake Architecture
DevOps & Automation
  • Terraform, AWS CloudFormation, and AWS CDK
  • GitHub Actions and Jenkins
  • CI/CD Pipeline Development
  • Automated Testing
 
  
 
“All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”
 
 

US_East | IT Consultant - Cloud Specialist_L2 · Datum Software, Inc

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