Senior Databricks Platform Architect – AI-Ready Data

Celebal Technologies; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Celebal Technologies is seeking a hands-on Senior Data Engineer to build and scale an enterprise data platform on Databricks + AWS. The goal is to turn messy operational data into trusted, reusable, AI-ready data products powering Tableau, ML, and self-service analytics across multiple business domains.

The role requires production Databricks experience, advanced SQL+Python, and strong Spark/PySpark skills.

Qualifications

• 8+ years of hands-on data engineering at enterprise scale.
• Production Databricks experience required.
• Proficient in SQL and Python with Spark/PySpark.
• Hands-on with Delta Lake and Bronze/Silver/Gold architecture.
• Knowledge of Unity Catalog, data governance, lineage, access controls.
• Experience with Git, CI/CD, and DataOps practices.
• Ability to own requirements from analysis to production.

Responsibilities

• Build and scale an enterprise data platform on Databricks + AWS.
• Turn messy operational data into trusted, reusable, AI-ready data products.
• Develop a governed single source of truth for analytics across business domains.
• Collaborate with architects and stakeholders to design data products for AI and analytics.

Skills

Databricks

SQL

Python

Spark

Delta Lake

Medallion architecture

Unity Catalog

Data governance

Git CI/CD

DataOps

End-to-end ownership

Job description

Celebal Technologies is seeking a hands-on Senior Data Engineer to build and scale an enterprise data platform on Databricks + AWS. The goal is to turn messy operational data into trusted, reusable, AI-ready data products powering Tableau, ML, and self-service analytics across multiple business domains.

The role requires production Databricks experience, advanced SQL+Python, and strong Spark/PySpark skills.