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Data Architect (Dremio Lakehouse)
AI Industry
Data Architect (Dremio Lakehouse)
Peak Hire Solutions's logo

Data Architect (Dremio Lakehouse)

at AI Industry

Agency job
5 - 17 yrs
₹34L - ₹45L / yr
Mumbai, Bengaluru (Bangalore), Hyderabad, Gurugram
Skills
Dremio

Review Criteria:

  • Strong Dremio / Lakehouse Data Architect profile
  • 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
  • Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
  • 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
  • Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies


Preferred:

  • Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments


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:

  • Bachelor’s or Master’s 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.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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