Data Infrastructure Architect

Transforming businesses with cutting-edge technology requires a deep understanding of data infrastructure.As a seasoned Data Infrastructure Architect, you will be responsible for designing and optimizing global, multi-cloud data systems that span regions and business units.You will own the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB.With a strong focus on scalability, fault tolerance, and high performance, you will architect and manage scalable data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.The ideal candidate will have in-depth technical expertise across AWS, Azure, and modern data stack tools.You will lead and oversee data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrity.Key Responsibilities:Design and implement global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standards.Own and evolve the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB.Lead and oversee data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrity.Architect and manage scalable, fault-tolerant, and high-performance data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.Requirements:Bachelor's Degree in Computer Science, Engineering, or a related field.6+ Years of experience working as Data Engineer, Database Engineer, or Cloud Data Architect.Proven AWS hands-on expertise, especially with Glue, Step Functions, and Lambda.Strong Python and SQL skills for workflow development and optimization.Experience designing and maintaining data pipelines (ETL/ELT).Proven data migration experience (cross-cloud or hybrid, with minimal downtime).Hands-on with data orchestration tools (e.g., Glue, Step Functions).Solid experience with at least two database systems among: Snowflake, PostgreSQL, MySQL, DynamoDB, MongoDB.Experience with monitoring and observability tools (CloudWatch, Azure Monitor, or Datadog).Excellent communication and collaboration skills with technical and non-technical teams.