Enterprise software and data engineering services for cloud transformation
Allata is a 201–500-person consulting firm building custom applications and data platforms for mid-market and enterprise clients. The tech stack reveals a heavy data-engineering practice: Snowflake, dbt, Fivetran, Airflow, Dagster, and multi-cloud (AWS/Azure), with ongoing project work in ELT pipelines, data governance, and lakehouse architecture. Active hiring in engineering and data (10 of 13 roles) at manager/senior levels signals scaling of delivery capacity around these service lines.
Allata delivers strategy, architecture, and custom software development focused on business transformation. The firm helps enterprise clients build or modernize applications, automate operations, and implement data platforms across cloud infrastructure (AWS, Azure). Core service areas span digital strategy, cloud migration, custom software development, and emerging technologies including AI adoption and governance. The company operates across the United States, Brazil, and Argentina, with headquarters in Dallas, Texas.
Allata's stack centers on multi-cloud data engineering: Snowflake, dbt, Fivetran, Azure Data Factory, AWS Glue, Matillion, Airflow, and Dagster for pipelines; Python, PySpark, and SQL for development; Azure and AWS for infrastructure; PostgreSQL, Oracle, SQL Server, and RDS for databases.
Projects include ELT pipeline modernization on Snowflake with dbt, data ingestion with Fivetran/Azure Data Factory/AWS Glue, CI/CD and orchestration with Airflow/Dagster, AI-enabled workplace solutions, Copilot governance, data lakehouse implementation, and regulatory compliance frameworks.
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Allata'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.