Description:

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

- 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 data.

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.

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.