Narwal is a services firm operating at the intersection of AI, data engineering, and quality automation for Fortune 500 enterprises. The stack reveal (Databricks, Snowflake, dbt, Azure Data Factory, Airflow) signals data pipeline and analytics maturity work; the adoption of Delta Lake and heavy Tricentis/qTest presence point toward modernizing legacy QA and data infrastructure. Project list shows a clear sales-execution focus: scaling pilot deals into million-dollar engagements, building a $10M services business, and converting strategic partnerships into revenue—backed by a hiring mix skewed toward senior sales and leadership roles.
Narwal delivers data pipeline modernization, cloud migration, and AI-first quality engineering to large enterprises. Founded in 2018 and headquartered in Cincinnati, Ohio, the company has grown to 201–500 employees across North America, UK, Mexico, and India. They work on high-touch engagements spanning Snowflake migrations, cloud-native implementations, medical device connectivity programs, and cyber risk management. The business model centers on professional services: converting entry projects (typically $200k) into sustained multi-million-dollar relationships, with active efforts to shift overflow work into repeatable statement-of-work offerings. Recent initiatives include opening new logos, expanding partner-channel revenue, and addressing legacy data migration and governance automation for compliance-heavy industries.
Narwal's primary stack includes Databricks, Snowflake, dbt, Azure Data Factory, Apache Airflow, Terraform, and GitHub Actions for data pipelines. For quality engineering: Tricentis Tosca, qTest, and NeoLoad. CRM: Salesforce, HubSpot, and ServiceNow. Core languages: Python, SQL, TypeScript, JavaScript.
Narwal is headquartered in Cincinnati, Ohio and operates offices in North America, UK, Mexico, and India. Hiring is active in the United States and India.
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