Enterprise software development and cloud data platform modernization
Arkhya Tech is a 201–500-person software services firm executing large-scale cloud migrations and data platform overhauls. The stack reveals a GCP-forward strategy (BigQuery, Dataproc, Pub/Sub, Airflow) paired with legacy system replacement (Teradata, Oracle, Informatica being phased out). The hiring mix—predominantly senior engineers (30 of 34 roles) focused on infrastructure, data, and platform work—indicates they're staffing customer-facing modernization engagements rather than scaling a product.
Arkhya Tech delivers software development and strategy services to mid-market and enterprise clients, with primary focus on data platform migration and modernization. Founded in 2014 and based in Herndon, Virginia, the company works across Salesforce ecosystems (Sales Cloud, Service Cloud, Marketing Cloud), Veeva (pharmaceutical CRM), and cloud infrastructure (AWS, GCP). Current project slate centers on migrating legacy data warehouses to GCP, optimizing ETL/ELT pipelines, building cloud-native data platforms, and rolling out infrastructure-as-code practices. Pain points they're actively addressing include cost optimization on cloud infrastructure, improving enterprise platform quality, and accelerating software release cycles.
Primary tools: Salesforce (Sales/Service/Marketing Cloud), Java, Node.js, Python, GCP (BigQuery, Dataproc, Pub/Sub, Airflow), Kubernetes, AWS (EKS, RDS, CloudFormation), Terraform, Kafka, Datadog, Prometheus, Grafana.
Active projects include migrating legacy data warehouses to GCP, building cloud-native data platforms, ETL/ELT optimization, CI/CD and infrastructure-as-code rollouts with Terraform, observability platform enhancement, and cost optimization across cloud infrastructure.
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Arkhya Tech. Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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