Auxo AI

Notice period : Immediate to 30daysKey Responsibilities :- Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).- Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.- Optimize Dremio reflections, 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 for Dremio deployment, monitoring, and scaling.- Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise :- Bachelors or Masters in Computer Science, Information Systems, or related field.- 10+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.- Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).- Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.- Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).- Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).- Excellent problem-solving, documentation, and stakeholder communication skills.Preferred :- Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).- Exposure to Snowflake, Databricks, or BigQuery environments.- Experience in high-tech, manufacturing, or enterprise data modernization programs. (ref:hirist.tech)