Data Architect - Dremio Lakehouse

Description :

Responsibilities :

- Architect, implement, and optimize Dremio-based lakehouse environments on cloud (AWS/Azure/Snowflake/Databricks).

- Define ingestion, curation, and semantic modeling strategies for analytics & AI workloads.

- Optimize query performance using reflections, caching, and tuning.

- Integrate diverse data sources (APIs, JDBC, Parquet/Delta, S3/ADLS).

- Establish best practices for security, lineage, and governance.

- Enable self-service analytics with governed data products and semantic layers.

- Develop reusable design patterns, documentation, and standards for deployment and scaling.

Ideal Candidate :

- Bachelors or Masters in Computer Science, Information Systems, or related field.

- 5+ 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.

Job Specific Criteria :

- CV Attachment is mandatory