Lead Data Platform Engineer – AWS, Freelance

Interval Group

. Lead hands-on development of scalable AWS data platforms, including Data Lakes, Lakehouses and Data Warehouses .

Posted 11/11/2026contractRemote • IrelandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive hands-on experience in AWS data platform engineering, focusing on the design and implementation of scalable data solutions using AWS services and modern data technologies. Proficient in leading technical teams, making architectural decisions, and ensuring compliance and governance in data practices.

Highest-signal resume keywords

AWS Data Platform EngineeringAWS Glue, Athena, Redshift, EMRSpark, Kafka, Apache Iceberg, Delta LakePython and SQL DevelopmentTerraform, CI/CD, DataOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS Data Platform EngineeringAWS GlueAWS AthenaAWS RedshiftAWS EMRSparkKafkaPythonSQLTerraform

Soft Skills

English Communication SkillsMentoring

Tools & Technologies

Data LakesLakehousesData WarehousesAirflow/MWAAStep FunctionsDbtData IntegrationOrchestration

Certifications & Qualifications

AWS Certifications

Industry Keywords

Data GovernanceComplianceIAMKMSGDPR

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSKafkaPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Lead hands-on development of scalable AWS data platforms, including Data Lakes, Lakehouses and Data Warehouses
Design and implement data pipelines using AWS Glue, Athena, Redshift, EMR and Kinesis
Build batch and streaming solutions with Spark, Kafka and Apache Iceberg or Delta Lake
Make architectural decisions around platform design, data integration and semantic layers
Implement orchestration with Airflow/MWAA, Step Functions and dbt
Establish security, governance and compliance practices using IAM, KMS and GDPR principles
Automate infrastructure and deployments using Terraform, CI/CD and DataOps
Lead technical delivery, conduct code reviews and mentor Data Engineers

Requirements

What you’ll need

Extensive hands-on AWS data platform engineering experience
Strong AWS analytics expertise, particularly Glue, Athena, Redshift and EMR
Experience with Spark, Kafka and modern Lakehouse technologies
Strong Python and SQL development skills
Experience with Terraform, CI/CD and DataOps
Ability to make architectural decisions while remaining actively involved in engineering
Experience leading technical teams and reviewing code
Very good English communication skills
German language skills are nice to have
AWS certifications are desirable

Benefits

Comp & perks

Flexible working hours
Freedom to choose your own projects
Access to exciting projects in various industries
Career advancement support
Dedicated team support
Opportunity to work independently
Access to a strong professional network