Senior Cloud Database Specialist

Database Transformation ExpertWe seek an experienced professional to lead the design and optimization of our global, multi-cloud data infrastructure.This pivotal role requires deep technical expertise across cloud platforms, coupled with the ability to architect, scale, and govern complex data systems spanning regions and business units.This senior position entails:Designing and managing scalable, fault-tolerant, and high-performance data pipelines utilizing AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.Developing and implementing global data infrastructure across multiple regions, focusing on latency, availability, and compliance with international data standards.Overseeing the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB.Leading and executing data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrity.Defining standards for indexing, query optimization, partitioning, and sharding strategies to support high-throughput and low-latency workloads.Promoting observability by implementing and scaling monitoring, alerting, and dashboards via CloudWatch, Azure Monitor, Datadog, or similar tools.Orchestrating transformations using DBT or Coalesce, maintaining strong data lineage, validation, and governance across workflows.Collaborating cross-functionally with Engineering, DevOps, and Analytics teams to deliver data solutions that are secure, reliable, and cost-efficient.Mentoring engineers in best practices for database performance, automation, and data reliability.Driving automation and operational excellence through CLI tools, APIs, infrastructure-as-code (Terraform, CloudFormation, or Bicep), and CI/CD pipelines.Ensuring data quality and compliance by implementing validation frameworks, automated testing, and consistent documentation across systems.Requirements include: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.Azure experience (Data Factory, Synapse, Functions, Monitor).Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or Bicep.Experience implementing cost governance frameworks in cloud data environments.Hands-on with data transformation tools (DBT or Coalesce).Deep understanding of performance tuning and scaling optimization for both relational and NoSQL databases.Experience mentoring or guiding engineers in best practices.Strong grasp of data quality and validation frameworks.Knowledge of partitioning, indexing, and sharding strategies for performance optimization.Exposure to CI/CD pipelines for data engineering projects.Advanced English Level is required for this role, as you will work with US clients.Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.