Narwal is a 201–500-person services firm specializing in AI, data pipelines, and quality engineering for Fortune 500 enterprises. The stack reveals a heavy focus on cloud data platforms (Snowflake, Azure, AWS) paired with orchestration and observability layers (Airflow, Prometheus, Grafana, Datadog), while active migrations away from MicroStrategy and SAP PO signal customer demand for legacy modernization. Hiring acceleration in data and engineering roles, concentrated at senior and lead levels, reflects a shift toward higher-margin strategic work.
Narwal delivers AI, data engineering, and quality assurance services to large enterprises undertaking digital transformation. The company operates across North America, UK, Mexico, and India, with a focus on converting legacy data systems into cloud-native pipelines and replacing traditional QA with AI-driven testing. Core activities include CI/CD pipeline buildout, infrastructure-as-code adoption (Terraform), Kubernetes orchestration, and platform observability. Current priorities include MicroStrategy-to-Cognos migrations for customers and expanding partner-driven go-to-market channels.
Narwal's stack spans Snowflake, Azure, AWS, Kubernetes, Airflow, dbt, Cognos Analytics, Power BI, Terraform, GitLab CI/CD, Datadog, Prometheus, and Grafana—centered on cloud data platforms and observability.
Narwal is headquartered in Cincinnati, Ohio, and has offices across North America, UK, Mexico, and India with remote-ready flexible models.
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Narwal'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.