Aws Data Architect

Summary

Join Xebia, a global leader in digital solutions, and contribute your expertise to our cloud-based data platform architecture. We are seeking a highly experienced data architect with proven success in building cloud-native data-intensive applications on AWS (GCP experience a plus). You will play a key role in validating our Data Platform Architecture proposal, developing governance policies, defining FinOps practices, and establishing architectural best practices using Databricks. This position requires immediate availability and a work permit to work in Poland. Your responsibilities include collaborating with our team to design, implement, and maintain scalable and secure data architectures.

Requirements

• Be ready to start immediately
• Have many proven experiences on building cloud native data intensive applications
• Have Amazon Web Service experience
• Design and implement scalable, efficient, and secure data architectures, including data lakes, data warehouses, and data marts
• Have experience with data mesh, data fabric and other methodologies
• Be proficient in defining and enforcing data architecture principles, standards, and best practices
• Be familiar with modern cloud native data stack
• Have hands-on experience of building and maintaining Spark applications
• Have a fundamental understanding of various Parquet, Delta Lake and other OTFs file formats
• Have strong written and verbal English communication skill and be proficient in communication with non-technical stakeholders
• Work from Poland and have a work permit to work from Poland

Responsibilities

• Validate our proposal on Data Platform Architecture (ML Platform, DWH) that includes Databricks caps usage and integration with external Airflow (AWS MWAA) and other AWS native services
• Help with developing governance policies around target organisation and usage patterns (workspaces organisation, IAM including programmatic access to S3 buckets, deeper understanding of data cataloguing with Unity Catalog or similar)
• Help with defining granular Finops practices on top of above-mentioned structure
• Define architectural best practices using Databricks and data platforms in general, together with our DF team
• Provide best practices and directional thinking around Workspace & Infrastructure creation and Isolation guidelines

Preferred Qualifications

Have good experience in GCP