Avatar for Celebal Technologies
Creating Intelligent Enterprises
  • Scale Stage
    Rapidly increasing operations

Databricks Solution Architect

Posted: 4 days ago
Job Location
Gurgaon • 
Pune • 
Jaipur • 
Noida • 
Jalpaiguri
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
SQL
Git
Spark
AWS
Pyspark
databricks
CI/CD
DataOps
Delta Lake
Unity Catalog
Medallion Architecture

About the job

Title - Databricks Solution Architect

Location -Remote

Duration – FTE

Client wants a hands-on Senior Data Engineer to build and scale their enterprise data platform on Databricks + AWS. The core goal isn't just moving data around - it's turning messy operational data into trusted, reusable, "AI-ready" data products that power Tableau, Databricks Genie/Genie Code, ML, and self-service analytics across Manufacturing, Supply Chain, Sales, Finance, and HR. They're trying to shift from one-off pipelines and reports toward a governed, single-source-of-truth platform (Databricks).

Key factors to evaluate the candidate on

The non-negotiables (screen hard here):

8+ years hands-on data engineering at enterprise scale

Production Databricks experience — not just training/POCs

Advanced SQL + Python, and strong Spark/PySpark

Delta Lake and Medallion architecture (Bronze/Silver/Gold) hands-on

Dimensional / enterprise data modeling (facts, dimensions, semantic layers)

Unity Catalog, data governance, lineage, access controls

Git, CI/CD, DataOps practices

AWS (or comparable major cloud)

Can independently own a requirement from source analysis → production

The differentiators (what separates a good fit from a great one):

Experience building data foundations specifically for Genie / conversational / self-service AI analytics, and designing semantic/contextual layers for AI — this is the standout theme and relatively rare, so weight it heavily

Exposure to ML / feature engineering / MLOps workloads

Data quality, reconciliation, monitoring, and production support discipline

Nice-to-haves (tiebreakers, not deal-breakers):

Manufacturing/MES data (WIP, yield, cycle time, test/quality data)

ERP/CRM/PLM/MES or Oracle/SQL Server integration experience

Tableau

Legacy ETL/warehouse → cloud Lakehouse modernization

One thing worth probing in interviews: because this is a platform-building role (reusable frameworks, not one-off pipelines), test for architectural/design thinking and communication with business stakeholders.

About the company

Celebal Technologies company logo
Creating Intelligent Enterprises5000+ Employees
  • Scale Stage
    Rapidly increasing operations
Learn more about Celebal Technologies image

Funding

AMOUNT RAISED
$32M
FUNDED OVER
1 round
Round
Ve
$32000000
Series Venture Round - Nov 2022

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