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Senior architect in a metro with a broad, generalist stack increases competition despite mid-tier brand.
Requires deep integration and data platform expertise, making cross-industry transfers difficult.
Explicit 12–16 years, 5+ architect experience and strict integration/data stack requirements raise selectivity.
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Define and drive end-to-end architecture for global system integrations, data pipelines, and enterprise BI reporting.
Design scalable, fault-tolerant integration patterns and unified data architectures across multiple cloud platforms.
Mentor senior technical leads, conduct design reviews, and oversee execution of secure, high-performance data solutions.
12–16+ years of tech experience with 5+ years in lead/architect roles focused on integration and data platforms.
Bachelor’s or Master’s degree in Computer Science, IT, or a related technical field.
Hands-on expertise in integration technologies including MuleSoft, Kafka, Apigee, RabbitMQ, AWS EventBridge, REST/gRPC APIs.
Experience with data platforms Snowflake, Databricks, PostgreSQL, Apache Spark, Redshift, or BigQuery; familiarity with BI tools like PowerBI, Tableau, Looker.
Experienced in architecting and scaling integrated data solutions in large, complex global enterprises.
Strong strategic leader comfortable collaborating between executive stakeholders and engineering teams to align architecture with business needs.
Proficient with multi-cloud environments (AWS/Azure/GCP) and implementing automation with Docker, Kubernetes, Terraform, and CI/CD pipelines.