Senior Data Engineer - Remote

Overview

Cloudary simplifies cloud growth by deploying Principal-Vetted talent directly into our partners' technical teams. Founded and led by senior cloud architects, we know exactly what it takes to deliver high-level engineering. Joining us means operating as an agile, embedded expert to drive critical initiatives forward rapidly.

In Short

• Design and implement modern Data Lake / Data Mesh architectures.
• Lead workload and pipeline migrations from on-premises or hybrid environments to cloud platforms (AWS, Azure, GCP).
• Build and optimize batch and streaming data pipelines ensuring scalability and reliability.
• Implement Change Data Capture (CDC) and real-time streaming with Kafka and Kinesis.
• Ensure observability, security, and governance across data pipelines.
• Collaborate with Data Scientists, Architects, and Stakeholders to deliver scalable, data-driven solutions.
• Provide technical leadership and support architectural modernization strategies.

Requirements

• Proven experience with AWS Data Services (S3, Glue, Athena, Redshift, Kinesis, Lambda, Step Functions, Lake Formation, IAM).
• Hands-on experience with CDC frameworks (e.g., Debezium, AWS DMS).
• Strong background in Kafka and orchestration tools like Airflow or Airbyte.
• Proficiency in Python and SQL for ETL/ELT development.
• Experience in data workload migration and pipeline modernization.
• Familiarity with Git-based workflows and CI/CD practices.
• Excellent communication skills across technical and non-technical teams.

Benefits

• Experience in consulting or client-facing roles.
• Strong analytical and solution-oriented mindset.
• Experience with Databricks, Spark, and Delta Lake.
• Knowledge of BigQuery (GCP) and Azure Data Services (Synapse, Data Factory).
• Understanding of MLOps and ML pipeline integrations.
• Experience with Infrastructure as Code (Terraform, Pulumi, AWS CDK).
• English fluency (technical or conversational).