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Data Architect

Data Architect

TALENT PRO

3 - 7 years

0 Lacs

karnataka

Posted:4 days ago| Platform: Shine logo

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Skills Required

data architecture data engineering data modeling jdbc airflow dbt kafka spark data governance enterprise security stakeholder management bi data science dremio sql optimization query performance tuning analytical schemas cloud object storage parquet delta iceberg distributed query planning apis integration object storage data engineering pipelines lakehouse architecture rbacbased access control engineering teams

Work Mode

On-site

Job Type

Full Time

Job Description

As a Strong Dremio / Lakehouse Data Architect, you will have the following responsibilities: - Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts. - Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.). - Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics. - Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices. - Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline. Qualifications required for this role: - 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on experience in Dremio. - Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems. - Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies. In addition to the above requirements, it is preferred if you have experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments.,

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Data Architect