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Data Architect (Dremio Lakehouse
Posted on Dec. 19, 2025
- Ka, India
- 0 - 0 USD (yearly)
- Full Time
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Auxo AI is scaling its Lakehouse Engineering Team.
If your Dremio + Data Architecture foundations are not rock solid, this role is not for you.
We need someone who can design, build, optimize, and govern large-scale Dremio lakehouse systems—not someone who only “worked around it.”
What You’ll Own
- Architect & implement Dremio-based lakehouse systems across cloud platforms
- Define strategies for ingestion, curation, semantic layers for analytics & AI
- Optimize reflections, caching & query performance with precision
- Integrate data from APIs, JDBC, Parquet/Delta, S3/ADLS/GCS
- Enforce security, lineage, RBAC, and governance
- Enable governed self-service analytics for BI & DS teams
- Build scalable standards for deployment, monitoring & optimization
- Work with engineering, analytics, and product teams to deliver fast, reliable data access
Non-Negotiable Requirements
(If you don’t meet these—don’t apply.)
Experience
- 5+ years in data architecture / data engineering
- 3+ years hands-on with Dremio
- Proven experience designing end-to-end lakehouse architectures
- Strong SQL optimization, modeling, query tuning
- Deep knowledge of S3 / ADLS / GCS, Parquet, Delta, Iceberg
- Experience with Airflow, DBT, Kafka, Spark, or similar pipelines
- Strong governance: lineage, RBAC, enterprise security
- Excellent communicator with strong documentation discipline
- Must come from cloud-native / analytics / enterprise modernization environments
Nice-to-Have
- Experience integrating Tableau, Power BI, Looker
- Exposure to Snowflake, Databricks, BigQuery
Pre-Screening Questions (Mandatory)
(Submit answers or your application will be skipped.)
- Years of hands-on experience with Dremio?
- Preferred location: Mumbai / Bengaluru / Hyderabad / Gurugram?
- Comfortable with 3 days WFO?
- OK with video ON during virtual interviews?
- CV Attachment is mandatory.
Contact to Apply
Phone: 7396612220
Email: akjobplacements@gmail.com
Job Type: Full-time
Pay: ₹3,500,000.00 - ₹4,500,000.00 per year
Work Location: In person
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