Criteria
Mandatory
Strong Dremio / Lakehouse Data Architect profile
Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies
Preferred
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon