Rearc is a 51–200-person cloud services firm built around data engineering and security. The stack reveals a data-heavy operation: Databricks, Spark, Delta Lake, and dbt sit alongside multi-cloud warehouses (Redshift, BigQuery, Synapse), while security tooling (SOAR, EDR) and AI libraries (OpenAI, Anthropic, RAG) point toward threat detection and compliance automation. Active hiring in data (6 roles) and security (4 roles) outpaces engineering, signaling a shift from pure migration work toward managed data pipelines and security operations.
Tech Stack 61 technologies
Core StackDatabricks Apache Spark Python Scala Delta Lake Unity Catalog AWS Redshift AWS Glue Azure Data Factory BigQuery OpenAI Anthropic Vertex AI RAG Java PySpark Apache Airflow dbt NumPy Pandas Azure GCP Synapse Azure Data Lake Storage Dataflow GCS SOAR EDR Dask+30 more
What Rearc Is Building
◆Challenges
- Improving communication and packaging of services
- Strengthening go-to-market motion
- Optimizing data workflows
- Scaling data pipelines
- Complex client data challenges
- High-volume financial data streams
- Ensuring timely and accurate data availability
- Improving detection accuracy
- Covering gaps in security posture
▲Active Projects
- Robust threat detection capabilities
- Compliance and recoverability of customer data analytics solutions
- Automation playbooks for incident triage and response
- Website content evolution
- Thought leadership content creation
- Go-to-market initiatives for new services
- Scalable data pipelines and lakehouse architectures on databricks
- Reference architectures for client requirements
- Real-time financial data processing
- Data pipeline engineering
Hiring Activity
20 roles · 8 in 30d
Department
Seniority
Company intelligence