Databricks Architect

Description :

Job Title : Databricks Architect

Location : Chennai/Hyderabad/Bangalore

Experience : 10-15 years of overall experience and 5+ years in Data Architecture

Budget : Open to discuss

Notice Period : Immediate joiner/ Serving notice with less than 60 days/Notice is less than 60 days

About the Role :

We are seeking a seasoned Databricks Architect with 10-15 years of overall experience and 5+ years in Data Architecture to lead the design and implementation of scalable, cloud-native data platforms.

You will drive technical strategy, define Lakehouse architecture standards, and guide engineering teams in building high-performance data solutions.

Key Responsibilities :

- Architect and implement enterprise-scale data platforms using Databricks Lakehouse, Delta Lake, and Medallion architecture.

- Lead end-to-end design of data ingestion, transformation, orchestration, and storage solutions.

- Define architecture standards, best practices, governance models, and performance optimization strategies.

- Oversee Databricks clusters, Spark workloads, and pipeline optimizations for efficiency and cost control.

- Enable CI/CD, DevOps, and Infrastructure-as-Code (Terraform) for Databricks and cloud data platforms.

- Collaborate with cross-functional teams on security, data governance, and cloud architecture alignment.

- Provide technical leadership, mentoring, and solution oversight for data engineering teams.

Required Skills & Experience :

- 10-15 years in Data Engineering, Data Platforms, or Cloud Data Architecture.

- 5+ years designing large-scale data solutions and architecting modern data platforms.

- Hands-on expertise with Databricks, Spark, PySpark, SQL, Delta Lake, and Lakehouse principles.

- Strong experience with AWS/Azure/GCP data services (Storage, IAM, Networking, Key Vault).

- Proven experience implementing CI/CD, GitOps, Terraform, and Databricks Repos/Workflows.

- Strong understanding of data governance, cataloging, lineage, and security (Unity Catalog preferred).

- Ability to translate business needs into scalable architectural solutions.

Preferred Qualifications :

- Databricks certifications (Data Engineer Professional, Lakehouse Architect).

- Experience with streaming systems (Kafka, Event Hubs, Kinesis).

- Exposure to MLflow and operationalizing ML workloads.

What We Offer :

- Opportunity to lead next-generation data platform initiatives.

- Collaborative and innovative environment.

- Competitive compensation and career growth.