Job Description

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