Master Data Architect

Unlock the full potential of your career as a Master Data Architect at Nearsure.In this role, you will lead the creation of scalable and fault-tolerant data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.Your expertise in architecting and managing complex data systems that span regions and business units will be instrumental in delivering secure, reliable, and cost-efficient solutions.Collaborate with cross-functional teams to deliver impactful projects and mentor engineers in best practices for database performance, automation, and data reliability.As a key member of our team, you will drive innovation and excellence by designing and implementing global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standards.Key Responsibilities:Architect and manage scalable and fault-tolerant data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and PythonDesign and implement global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standardsOwn and evolve the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDBLead and oversee data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrityDefine standards for indexing, query optimization, partitioning, and sharding strategies to support high-throughput and low-latency workloadsChampion observability by implementing and scaling monitoring, alerting, and dashboards via CloudWatch, Azure Monitor, Datadog, or similar toolsOrchestrate transformations using DBT or Coalesce, maintaining strong data lineage, validation, and governance across workflowsCollaborate cross-functionally with Engineering, DevOps, and Analytics teams to deliver data solutions that are secure, reliable, and cost-efficientMentor engineers in best practices for database performance, automation, and data reliabilityDrive automation and operational excellence through CLI tools, APIs, infrastructure-as-code (Terraform, CloudFormation, or Bicep), and CI/CD pipelinesEnsure data quality and compliance by implementing validation frameworks, automated testing, and consistent documentation across systems