Dremio Data Architect

AuxoAIpartners with leading enterprises to modernize their data ecosystems using cloud-native and AI-ready architectures. We are seeking an experienced DremioData Architect to lead the design and optimization of our modern datalakehouseplatform enabling governed, high-performance analytics across structured and unstructured data.

Role Overview

You willbe responsible forarchitecting, implementing, andoptimizingDremio-based datalakehouseenvironments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance ofarchitecture design, datamodeling, query optimization, and governance enablement in large-scale analytical environments.

Responsibilities:

• Design and implementDremiolakehousearchitecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semanticmodelingstrategies to support analytics and AI workloads.
• OptimizeDremioreflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards forDremiodeployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeledaccess to enterprise data.

Requirements:

• Bachelors orMasters in Computer Science, Information Systems, or related field.
• 10+ years in data architecture and engineering, with3+ years inDremioor modernlakehouseplatforms .
• StrongexpertiseinSQL optimization, datamodeling, and performance tuning withinDremioor similar query engines (Presto, Trino, Athena).
• Hands-on experience withcloud storage (S3, ADLS, GCS) ,Parquet/Delta/Iceberg formats , and distributed query planning.
• Knowledge ofdata integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity withenterprise data governance, metadata management, and role-based access control (RBAC) .
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integratingDremiowith BI tools (Tableau, Power BI, Looker) and datacatalogs(Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, orBigQueryenvironments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.