Data Architect (Dremio Lakehouse)

Delhi - India

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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 go...

Role & 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 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.