Remote AWS Data Engineer - Cloud Data Platform Lead

Sharesource; Davao City; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Sharesource is seeking an experienced Senior AWS Data Engineer to design, build, and operate modern cloud-native data platforms on AWS. You will own end-to-end data pipelines and data-lake architectures, ensuring scalable, reliable, and cost-efficient solutions across the business.

The ideal candidate has 5+ years delivering enterprise data engineering, strong AWS expertise (S3, Lake Formation, Glue, Redshift, Kinesis), and hands-on experience with SQL, Python, and CI/CD.

Qualifications

• 5+ years delivering enterprise data engineering solutions.
• Strong experience designing cloud-native data engineering solutions on AWS.
• Experience designing and supporting modern data lake architectures.
• Experience building scalable ETL/ELT pipelines.
• Experience working with structured, semi-structured, and unstructured data.
• Experience integrating data from APIs, SaaS, databases, streaming platforms, and file-based sources.
• Experience developing production-grade, operationally supported data platforms.
• Experience implementing data quality, validation, monitoring, and operational support processes.
• Strong practical experience with AWS technologies (S3, Lake Formation, Glue, Lambda, Redshift, Athena, DMS, Kinesis, EventBridge, SQS, SNS, Step Functions, IAM, Secrets Manager, KMS, CloudWatch, CloudTrail).
• Strong experience with SQL, Python, ETL/ELT development, data pipeline design, orchestration, data modelling, source-to-target mapping, data quality frameworks, performance optimisation, and operational troubleshooting.

Responsibilities

• Design, build, and support modern cloud-native data engineering platforms on AWS.
• Develop and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Architect and manage data lake solutions to support structured, semi-structured, and unstructured data.
• Integrate data from multiple sources, including APIs, SaaS platforms, databases, streaming platforms, and file-based systems.
• Apply modern cloud-native design principles, leveraging AWS-managed services where appropriate.
• Ensure data platforms are reliable, scalable, and optimised for performance and cost-efficiency.
• Implement data governance, quality checks, validation processes, and monitoring frameworks.
• Provide operational support, including troubleshooting, issue resolution, and ongoing optimisation of data pipelines.
• Collaborate with analytics and business teams to structure and deliver reporting-ready datasets.
• Support downstream reporting, BI and analytics use cases.
• Contribute to best practices, standards, and continuous improvement of data engineering processes.

Skills

AWS data engineering

Cloud-native architecture

ETL/ELT pipelines

SQL

Python

Data lakes

Data governance

Monitoring and operations

CI/CD & IaC

Git/GitHub

Tools

S3

Lake Formation

Glue

Redshift

Kinesis

DMS

Lambda

Athena

CloudWatch

Terraform

Docker

Kubernetes

Snowflake

Job description

Sharesource is seeking an experienced Senior AWS Data Engineer to design, build, and operate modern cloud-native data platforms on AWS. You will own end-to-end data pipelines and data-lake architectures, ensuring scalable, reliable, and cost-efficient solutions across the business.

The ideal candidate has 5+ years delivering enterprise data engineering, strong AWS expertise (S3, Lake Formation, Glue, Redshift, Kinesis), and hands-on experience with SQL, Python, and CI/CD.